summer school on optics & photonics 2017 of abstracts_final.pdf · day 2 (2.6.2017) place: tellus...
TRANSCRIPT
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SUMMER SCHOOL ON OPTICS &
PHOTONICS 2017
Book of Abstracts
Oulu, Finland, 1-3 June, 2017
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Editors
Motahareh Peyvasteh, Alexey Popov, Igor Meglinski
Optoelectronics and Measurement Techniques (OPEM), Faculty of Information Technology and Electrical Engineering,
University of Oulu, Oulu
© 2017 University of Oulu
This work is subject to copyright. All rights are reserved. This work may not be translated or copied in whole or in part
without the written permission of the publisher (University of Oulu).
www.oulu.fi/photonics2017
mailto:[email protected]:[email protected]://www.oulu.fi/photonics2017
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Table of Contents
Welcome ............................................................................................................................................................ 5
Organizing Committee ...................................................................................................................................... 6
Sponsors ............................................................................................................................................................ 7
Partners .............................................................................................................................................................. 8
Program ............................................................................................................................................................. 9
Posters ............................................................................................................................................................. 12
Oral section
Light microscopy and algorithm based mathematics to analyze cancer cell movement using 3D in vitro
matrix models .................................................................................................................................................. 15
Study of birefringence alterations during optical clearing of biological tissues .............................................. 16
Raman and ATR FTIR spectroscopy in the study of chemical reaction rates ................................................. 17
Toward virtual biopsy. Multimodal spectroscopy for cancer detection .......................................................... 18
Laser-induced surface graphitization of diamond for metamaterial fabrication .............................................. 19
Physical principles of design of metamaterial absorber based on electrical ring resonators ........................... 20
Influence of glucose concentration on blood optical properties in THz frequency range ............................... 21
Advancing optical coherence tomography with numerical techniques ........................................................... 22
Optical tweezers: principles and selected applications .................................................................................... 23
Spectral investigation of ultranarrow-linewidth distributed-feedback resonators below laser threshold ........ 24
Remote photoplethysmography system for contactless regional anesthesia monitoring in operating room ... 25
Nanodiamond structures for fiber optics devices ............................................................................................ 26
Imaging of extracellular nano vesicles exosomes in mental health ................................................................. 27
Mitigating transmitter non-linearity and fiber impairments in radio over fiber technology............................ 28
Short-range supercontinuum LIDAR for temperature profiling ...................................................................... 29
Fabrication of novel organic and inorganic thin film transistors and exploration of subgap density of states 30
In-vitro investigations on fluorescence behavior of urinary and kidney calculi .............................................. 31
Simulations of terahertz wire-grid polarizers on substrate .............................................................................. 32
Wavelet analysis for Terahertz time domain spectroscopy ............................................................................. 33
Poster Section
Optical tweezers: probing effect of nanoparticles on red blood cells aggregation .......................................... 35
Determination of Doppler angle based on the carrier spectrum broadening ................................................... 36
Tomographic phase microscope for study of mouse fibroblast ....................................................................... 37
Terahertz dielectric lens for super-resolution images ...................................................................................... 38
Dynamic tuning of graphene plasmonic resonances by ultraviolet light ......................................................... 39
Control the optical properties of phosphate glass with CdSe quantum dots in terahertz frequency range ...... 40
Analytical model to describe fluorescence spectra of human skin .................................................................. 41
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Table of Contents
Optical surface evaluation of bone implants during its processing ................................................................. 42
Density of quantum states in periodical structures .......................................................................................... 43
Narrowband optically tunable terahertz filter based on graphene for biomedical applications ...................... 44
Optical forces and torques action on birefringent microplate ......................................................................... 45
Possibilities of application of fluorescence spectroscopy in minimally invasive surgery for analysis of
abdominal cavity organs pathological processes ............................................................................................. 46
Possibilities of Doppler spectrum analysis of laser radiation received from hand skin during functional tests
......................................................................................................................................................................... 47
Epsilon-near-zero copper-dielectric composite for terahertz frequency range ................................................ 48
Projection on latent structures method for analysis of blood plasma Raman spectra ...................................... 49
Laser diagnostics method for evaluation of properties of blood flow oscillationsin rheumatologic patients . 50
Polarazing properties of metasurface based on chiral unit cell in THz frequency range ............................... 51
Stokes correlometry of polarization inhomogeneous object fields .................................................................. 52
Meat freshness inspection by visible and near-infrared spectroscopy ............................................................. 53
Non-invasive evaluation of skin pathologies by RGB autofluorescence imaging .......................................... 54
Microwave vortex field ................................................................................................................................... 55
Laser speckle contrast imaging of a transition from non-ergodic to ergodic light scattering.......................... 56
Fluorescence spectroscopy usage possibilities for the laboratory rats metabolism evaluation ....................... 57
Using of Raman spectroscopy method in comparative spectral analysis of the surface of aortal valves of the
hert of baranes before and in process of their decellularization ...................................................................... 58
Lab-on-a-chip system for the analysis of biofluids ......................................................................................... 59
Raman spectroscopy of human sweat components ......................................................................................... 60
Imaging of rhodamine-loaded capsules distribution in vivo by fluorescence spectroscopy ............................ 61
Research studies of aging changes of hyaline cartilage surface by using Raman-scattering spectroscopy..... 62
Quantitative assessment of skin composition and scattering properties in human volunteers using
photothermal radiometry and diffuse reflectance spectroscopy in vivo .......................................................... 63
Graphene enabled active optical fiber devices ................................................................................................ 64
Diagnostics of singularities inherent in combined beams assembled from uncorrelated Hermite-Gaussian
modes ............................................................................................................................................................... 65
Application of adaptive wavelet-analysis for the study of cutaneous blood flow oscillations in patients with
diabetes mellitus .............................................................................................................................................. 66
Author index .................................................................................................................................................... 67
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WELCOME
On behalf of the University of Oulu SPIE Student Chapter, we warmly welcome Doctoral Students,
Young Researchers and SPIE/OSA Members to attend the Photonics Summer School on 1-3 June
2017 in Oulu, Finland.
The SPIE FOCUS conference is organized for the first time in Finland, by the Northernmost SPIE
Student Chapter. The untouched Northern nature in combination with the high-tech environment
inspire PhD students and young researchers from all around the world to feel the vibrant spirit of
Photonics-Photonics with the Arctic attitude!
You will benefit from
• Development workshops
• Meeting with local companies
• Lectures, presentations and poster sessions
• Meeting with renowned International researchers and experts
• Discovering recent trends in Photonics, Optics and Optoelectronics
• Discovering the beauty of the Finnish midnight sun
• City tour and unforgettable Finnish cuisine
We wish you a fruitful conference and a pleasant and memorable stay in the Capital of Northern
Scandinavia!
On behalf of the Program and Organizing committees,
Assoc. Prof. Alexey Popov and Prof. Igor Meglinski,
Chairs of the Summer School
Website: www.oulu.fi/photonics2017
http://www.oulu.fi/photonics2017
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ORGANIZING COMMITTEE
Organizing Committee
Chair
Lukasz Surazynski
Vice-Chair
Aleksandra Zienkiewicz
Members
Pauliina Vilmi
Tatiana Avsievich
Motahareh Peyvasteh
Anton Sdobnov
Yana Tarakanchikova
Maria Borovkova
Prateek Singh
Lassi Rieppo
Vesa Korhonen
Veli-Pekka Ronkainen
Mika Kaakinen
Sami Huttunen
Lauri Eklund
Eija Pajunen
Alexey Popov
Igor Meglinski
Program Committee
Chairs
Dr. Alexey Popov (University of Oulu, Finland)
Prof. Igor Meglinski (University of Oulu, Finland)
Members
Mikhail Khodzitsky (ITMO University,
Russia)
Malgorzata Jedrzejewska-Szczerska (Gdansk
University of Technology, Poland)
Kurias Markose (Cochin University of
Science & Technology, India)
Matiss Lacis (University of Latvia, Latvia)
Pavlo Ryabyi (Chernivtsy National
University, Ukraine)
Bohdan Sokolenko (Taurida National V.I.
Vernadsky University, Ukraine)
Svyatoslav Gusev (ITMO University, Russia)
Lauri Eklund (University of Oulu)
Vesa Kiviniemi (University of Oulu)
Nikolay Brandt (Moscow State University)
Participating SPIE Student Chapters
University of Oulu (Finland)
ITMO University (Russia)
Gdansk University of Technology (Poland)
Cochin University of Science & Technology
(India)
University of Latvia SPIE Chapter (Latvia)
Taurida National V.I. Vernadsky University
(Ukraine)
Chernivtsy National University (Ukraine)
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SPONSERS
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PARTNERS
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PROGRAM
DAY 1, co-located with the Oulu Bioimaging Day - OBI Day (1.6.2017)
Place: Saalasti Hall, Linnanmaa, University of Oulu
Session 1, Chair: Docent Lauri Eklund
09:00 - 09:10 Jukka Riekki, Dean of Faculty of Information Technology and Electrical Engineering,
University of Oulu: Welcoming speech
09:10 - 09:15 Lauri Eklund, Biocenter Oulu, University of Oulu: Opening Oulu Bioimaging Day
09:15 - 09:30 Sinikka Eskelinen, Faculty of Medicine, University of Oulu: Past, current and future
perspectives of Oulu Bioimaging
09:30 - 09:55 Zeev Zalevsky, Bar-Ilan University, Israel: Usage of light for remote and simulataneous
"hearing" of many physiological parameters (Keynote)
09:55 - 10:15 Sponsored Coffee
Session 2, Chair: Dr. Vesa Korhonen
10:15 - 10:40 Jerome Thevenot, University of Oulu: Medical applications of thermal imaging
10:40 - 11:05 Teemu Myllylä, University of Oulu: Towards continuous monitoring of the glymphatic
system of the human brain
11:05 - 11:30 Ilya Skovorodkin, University of Oulu: Challenges and solutions in high resolution 4D
confocal imaging of multicellular embryonic tissues and organoids
11:30 – 12:30 Lunch and Poster Session
Session 3, Chair: Prof. Seppo Vainio
12:30 - 12:55 Ilkka Pölönen, University of Jyväskylä, Finland: Hyperspectral imaging for diagnosis of
skin cancer
12:55 - 13:20 Saad Akram, University of Oulu: Cell tracking via proposals generation and selection
13:20 - 13:45 Aleksei Tiulpin, University of Oulu: Deep learning for medical image analysis
13:45 - 14:10 Ronald Sroka, Laser-Forschungslabor, University Hospital Munich, Germany:
Fluorescence diagnostics and photodynamic therapy (Keynote)
14:10 - 14:30 Sponsored Coffee and Posters Session 4, Chairs: Ms. Aleksandra Zienkiewicz, Mr. Lukasz Surazynski
Session 5, Chair: Prof. Vesa Kiviniemi
14:30 - 14:55 Tatiana Novikova, Ecole Polytechnique, Palaiseau, France: Polarimetry for biomedical
research (Invited)
14:55 - 15:20 Anne Heikkinen, University of Oulu: Collagen XIII deficiency in mice models
congenital myasthenic syndrome type 19
15:20 - 15:45 Timo Tuovinen, University of Oulu: CV mapping of fMRI data in different brain
diseases
16:00 Bus transportation from University to Conference Dinner place
17:00 - 22:00 Conference dinner
22:00 Bus transportation Conference Dinner place to City center and University
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PROGRAM
DAY 2 (2.6.2017)
Place: Tellus Arena, Linnanmaa, University of Oulu
Session 1, Chair: Dr. Matti Kinnunen
09:00 - 09:30 Jussi Hiltunen, VTT - Technical Research Center of Finland: Raman measurements
09:30 - 10:00 Matti Kinnunen, University of Oulu: Optical tweezers: principles and selected
applications
10:00 - 10:30 Ronald Sroka, Laser-Forschungslabor, University Hospital Munich, Germany: Laser-
assisted stone fragmentation
10:30 - 11:00 Katja Lefevre, Specim, Finland: Hyperspectral imaging - from science to industrial daily
use
11:00 - 11:30 Pawel Wierzba, Gdansk University of Technology, Poland: Selected applications of
polarization interferometry (Invited)
11:30 - 12:00 Marianne Hiltunen, VTT - Technical Research Center of Finland: Integrated optics
(Invited)
Lunch 12:00 – 13:00
Session 2, Chairs: Dr. Alexey Popov, Dr. Teemu Myllylä
13:00 - 13:15 Ivan Bratchenko, Samara National Research University, Russia: Towards virtual biopsy.
Multimodal spectroscopy for cancer detection
13:15 - 13:30 Tianmiao Zhang, ITMO University, Russia: Wavelet analysis for Terahertz time-domain
spectroscopy
13:30 - 13:45 Stephan Stroebl, Laserforschungslabor, LIFE-Centre, Universitätsklinikum Grosshadern,
Germany: In vitro investigations on fluorescence behavior of urinary and kidney calculi
13:45 - 14:00 Cristine Calil Kores, KTH - Royal Institute of Technology, Sweden: Spectral
investigation of ultranarrow-linewidth distributed-feedback resonators below laser
threshold
14:00 - 14:15 Ehsanul Hoque Apu, University of Oulu: Light microscopy and algorithm based
mathematics to analyze cancer cell movement using 3D in vitro matrix models
14:15 - 14:30 Daria Majchrowicz, Gdansk University of Technology, Poland: Nanodiamond structures
for fiber optics devices
14:30 - 14:45 Abba Saleh, Tampere University of Technology, Finland: Short-range supercontinuum
LIDAR for temperature profiling
Break 14:45 – 15:00
Session 3, Workshop, Chairs: Ms. Aleksandra Zienkiewicz, Mr. Lukasz Surazynski
15:00 - 16:00 From Academy to industry - what to expect?
16:00 - 17:30 SPIE/OSA chapters meeting
17:30 - 19:00 University and Lab tours
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PROGRAM
DAY 3 (3.6.2017)
Place: Tellus Arena, Linnanmaa, University of Oulu
Session 1, Chair: Dr. Alexander Bykov
09:00 - 09:30 Janis Spigulis, University of Latvia: Hyperspectral and multispectral skin imaging
(Invited)
09:30 - 10:00 Irina Zavestovskaya, National Research Nucler University MEPhI, Russia: Nanovector
drug delivery (Keynote)
10:00 - 10:30 Mikhail Kirillin, Institute of Applied Physics of Russian Academy of Sciences, Russia:
Advancing optical coherence tomography with numerical techniques (Invited)
10:30 - 11:00 Andrey Dunaev, Orel State University named after I.S. Turgenev, Russia: Methods and
means of optical non-invasive diagnostics of hemodynamics and metabolic activity of
human tissues (Invited)
11:00 - 11:30 Mikhail Khodzitsky, ITMO University, Russia: Terahertz photonics for biomedical
applications (Invited)
11:30 - 12:00 Nikolay Brandt, Moscow State University, Russia: Raman and ATR FTIR spectroscopy
in the study of chemical reaction rates (Invited)
Lunch 12:00 – 13:00
Session 2, Chair: Dr. Mikhail Khodzitsky
13:00 - 13:30 Ghassan Jabbour, University of Ottawa, Canada: Room temperture long lifetime
phosphorescence from organic exciplex
13:30 - 13:45 Oleg Miakinin, Samara National Research University, Russia: Toward virtual biopsy.
Cancer Imaging
13:45 - 14:00 Sviatoslav Gusev, ITMO University, Russia: Influence of glucose concentration on
blood optical properties in THz frequency range
14:00 - 14:15 Daniel Gomon, ITMO University, Russia: Physical principles of design of metamaterial
absorber based on electrical ring resonators
Break 14:15 – 14:30
Session 3, Chair: Dr. Oleg Miakinin
14:30 - 14:45 Mariia Borovkova, University of Oulu: Study of birefringence alterations during optical
clearing of biological tissues
14:45 - 15:00 Alexey Trofimov, ITMO University, Russia: Simulations of terahertz wire-grid
polarizers on substrate
15:00 - 15:15 Atiqul Mazumder, University of Oulu: Imaging of extracellular nanovesicle exosomes in
mental health
15:15 - 15:30 Dhananjay Patel, S.V. National Institute of Technology, India: Mitigating transmitter
non-linearity and fiber impairments in Radio over Fiber technology
Session 4, Chairs: Dr. Alexey Popov, Prof. Igor Meglinski
16:00 - 16:15 Best oral & poster awards and Concluding remarks
18:00 - 20:00 City tour
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POSTERS
1 Anton Sdobnov Laser Speckle Contrast Imaging of a transition from non-
ergodic to ergodic light scattering
University of
Oulu
2 Tatiana Avsievich Optical tweezers: probing effect of nanoparticles on red
blood cells aggregation
University of
Oulu
3 Motahareh
Peyvasteh
Meat freshness inspection by visible and near-infrared
spectroscopy
University of
Oulu
4 Prateek Singh Raman spectroscopy of human sweat components University of
Oulu
5 Yunyun Dai Dynamic tuning of graphene plasmonic resonances by
ultraviolet light
Aalto
University
6 Yadong Wang Graphene enabled Active Optical Fiber Devices Aalto
University
6 Yadong Wang Graphene enabled Active Optical Fiber Devices Aalto
University
7
Michał
Ziemczonok, Maria
Baczewska
Tomographic phase microscope for study of mouse
fibroblast
Warsaw
University of
Technology
8 Alexandr
Grebenchukov
Narrowband optically tunable terahertz filter based on
graphene for biomedical applications
ITMO
University
9 Cherniadev
Aleksandr Terahertz dielectric lens for super-resolution images
ITMO
University
10 Maxim Masyukov Polarazing properties of metasurface based on chiral
unit cell in THz frequency range
ITMO
University
11 Egor Litvinov Epsilon-near-zero copper-dielectric composite for
terahertz frequency range
ITMO
University
12 Petr Demchenko Control the optical properties of phosphate glass with
CdSe quantum dots in terahertz frequency range
ITMO
University
13 Anna
Tyumchenkova
Research studies of aging changes of hyaline cartilage
surface by using Raman-scattering spectroscopy
Samara
National
Research
University
14 Oleg Frolov Optical surface evaluation of bone implants during its
processing
Samara
National
Research
University
15 Polina
Shalkovskaya
Using of Raman spectroscopy method in comparative
spectral analysis of the surface of aortal valves of the
hert of baranes before and in process of their
decellularization
Samara
National
Research
University
16 Lyudmila Shamina Lab-on-a-chip system for the analysis of biofluids
Samara
National
Research
University
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POSTERS
17 Anastasia Lykina Projection on latent structures method for analysis of
blood plasma Raman spectra
Samara
National
Research
University
18 Igor Kozlov Possibilities of Doppler spectrum analysis of laser
radiation received from hand skin during functional tests
Orel State
University
named after I.S.
Turgenev
19 Evgeniya Seryogina Fluorescence spectroscopy usage possibilities for the
laboratory rats metabolism evaluation
Orel State
University
named after I.S.
Turgenev
20 Viktor Dremin Analytical model to describe fluorescence spectra of
human skin
Orel State
University
named after I.S.
Turgenev
21 Irina Makovik Laser diagnostics method for evaluation of properties of
blood flow oscillations in rheumatologic patients
Orel State
University
named after I.S.
Turgenev
22 Ksenia Kandurova
Possibilities of application of fluorescence spectroscopy
in minimally invasive surgery for analysis of abdominal
cavity organs pathological processes
Orel State
University
named after I.S.
Turgenev
23 Elena Zharkikh
Application of adaptive wavelet-analysis for the study of
cutaneous blood flow oscillations in patients with
diabetes mellitus
Orel State
University
named after I.S.
Turgenev
24 Olga Stelmashchuk Imaging of rhodamine-loaded capsules distribution in
vivo by fluorescence spectroscopy’
Orеl State
University
named after I.S.
Turgenev
25 Anna Babashkina Determination of Doppler angle based on the carrier
spectrum broadening
Tambov State
Technical
University
26 Oleksandr Olar Stokes correlometry of polarization inhomogeneous
object fields
Yuriy
Fedkovych
Chernivtsi
National
University
27 Vitali
Ghoghoberidze Density Of quantum States In periodical Structures
Tbilisi State
University
28 Emily Plorina Non-invasive evaluation of skin pathologies by RGB
autofluorescence imaging
University of
Latvia
29 Nina Verdel
Quantitative assessment of skin composition and
scattering properties in human volunteers using
photothermal radiometry and diffuse reflectance
spectroscopy in vivo
Jožef Stefan
Institute
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Oral section
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[15]
SqCC/Y1 (ZB)
Tra
ject
ory
plo
t
Figure 3
SqCC/Y1 (BB)SqCC/Y1 (FL)SqCC/Y1 (Vect Ct)
LIGHT MICROSCOPY & ALGORITHM BASED MATHEMATICS TO ANALYZE CANCER CELL
MOVEMENT USING 3D IN VITRO MATRIX MODELS
Ehsanul Hoque Apu*1,3, Saad Akram2, Hong Wan3 and Tuula Salo1,4 1Cancer and Translational Medicine Research Unit, University of Oulu, Oulu, Finland
2Dept. of Computer Science and Engineering, University of Oulu, Oulu, Finland
3Queen Mary University of London, London, UK
4Department of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland
*Contact: [email protected]
Keywords: light microscopy, live cell imaging, 3D matrix models, image analysis
Tumor microenvironment (TME) consists of the non-transformed stromal elements within the tumor. Invasion of
carcinomas is defined as passing the basement membrane and infiltration into the underlying interstitial tissue by
malignant tumor cells. Cancer cell invasion has been traditionally studied in three dimensional (3D) models composed of
rat or mouse extracellular matrix (ECM) proteins such as type I collagen and Matrigel. In order to study In Vitro 3D
squamous cell carcinoma (SCC) invasion, our research group developed a human derived TME model (Myoma
organotypic) using uterine leiomyoma tissue [1]. We have also developed a processed, gelatinous leiomyoma matrix
named Myogel, according to the method for the preparation of mouse Engelbreth Holm Swarm (EHS) tumor derived
Matrigel [2]. Our results suggest that the novel Myogel is practical and even superior to the commercial Matrigel.
In this study we aimed to validate the quality of our Novel product Myogel, is suitable and even better than Matrigel or
collagen for fast and reproducible testing of cancer cell-TME interaction via In Vitro invasion assays using microscopy
techniques and image analysis methods. Thus four stable cell lines in oral buccal squamous cell carcinoma (SCC)
SqCC/Y1 cell lines were generated for this purpose.
The four cell lines are Vector controlled cell (Vect Ct), overexpressed full length (FL) and two mutant cell lines (BB &
ZB). These cell lines were previously used to analyze the quantitative differences in 2D cell migration after live cell
imaging using IncuCyte system [Figure]. 3D Sandwich technique was used to observe the SqCC/Y1 cell movement under
ECM culture conditions in both monoculture and co-culture (with Fibroblasts). Images were taken with Olympus cellSens
live-cell imaging system for 18 hours. Huygens Professional software was used for image processing and deconvolution
of the time lapse images prior to analysis. With the help of MATLAB algorithm we analyzed the Sandwich experiment
data to study the speed, size, shape (eccentricity/ roundness), travelled distances of the SqCC/Y1 cells and their nuclei in
different TME-ECM conditions. An algorithm based mathematical method was developed to quantify the movement of
cells.
The average SCC cell speed, distances in Myogel was more than their average speed in collagen and Matrigel. Their
distances, size & shape (eccentricity/ roundness) were also different. The nuclei and cellular shape were decreased in
Myogel, which suggests there were more cell movement than in Matrigel. There were variations observed among the four
cell lines.
We found that our new product, Myogel mimics the native human TME better. It allows long term live cell imaging and
better image acquisition. It is suitable, stable & even better than Matrigel or collagen for fast and reproducible testing of
cancer cell TME interaction in 3D experiment methods.
1. S. Nurmenniemi et al, “A novel organotypic model mimics the tumor microenvironment”,
American Journal of Pa thology, 175(3): 1281–1291, 2009
2. T. Salo et al, “A novel human leiomyoma tissue derived matrix for cell culture studies”, BMC Cancer, 15: 981, 2015
Figure:
Trajectory plots
show migration
patterns of 30
cells from four
different cell
lines.
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[16]
STUDY OF BIREFRINGENCE ALTERATIONS DURING OPTICAL CLEARING OF BIOLOGICAL
TISSUES
Mariia Borovkova*, Alexander Bykov, Alexey Popov, and Igor Meglinski
Optoelectronics Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
* Contact: [email protected]
Keywords: polarimetry, Stokes parameters, birefringence, optical clearing
Recently the use of optical technology for biomedical research and health care has been growing explosively. A variety
of new methods are being applied to medical research showing a great potential in diagnostics, monitoring and therapy.
We present the results of an experimental study on alterations of the birefringence properties of biological tissue during
the optical clearing. Optical clearing is a well-known technique commonly used for reduction of scattering of biological
tissues with a primary aim to increase penetration depth and contrast of optical imaging techniques [1]. Chicken skin was
chosen for the experiments due to its proved birefringence properties [2] and good susceptibility to the optical clearing
[1].
In the experimental system, the laser diode (640 nm, 40 mW) produced linearly polarized light that altered by a quarter-
wave plate into the right-hand circularly polarized light. During the experiments, the right-hand circularly polarized light
was directed at 55o towards a sample of chicken skin turned upside down and immersed in glycerol. The dish containing
the sample was located on a translation stage, which was moving back and forth along a 1 cm line with a 100 µm step for
180 minutes. At each step, the polarization properties of the light scattered back from the chicken skin sample were
analyzed by a Stokes vector polarimeter. Fig.1 shows typical alterations of Stokes parameters (a) and Stokes vectors on
the Poincare sphere (c) measured during the 3-hour optical clearing experiment. Besides, in order to characterize the
birefringence properties of the tissue, phase retardation is presented (see Fig.1-b).
Fig.1 a – measured Stokes parameters, b – Phase retardation, c – Stokes vectors on the Poincare sphere (dark to light
colormap corresponds to the time flow) of the radiation scattered back from the chicken skin sample versus time of the
experiment.
As one can see Q and U Stokes parameters do not indicate any significant changes, whereas the V parameter gradually
goes down under the influence of the optical clearing (see Fig.1-a). The same trend is observed on the Poincare sphere.
The results are well agreed with the results of alternative studies [3]. Fig.1-b shows typical phase retardation between two
orthogonal polarization components during the experiment. Average time retardation is 40 deg. for this experiment.
According to our results, during the process of optical clearing, the V Stokes component shows the most noticeable down
trend due to scattering reduction and birefringence alterations in the chicken skin sample during the optical clearing. The
described polarization-based modality allows for fundamental study of properties of biological tissues. In framework of
further studies, we plan to investigate potential applications of this approach for optical diagnosis of skin, as well as its
applicability for the food and skin care industries.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under
the Marie Skłodowska-Curie grant agreement No 713606.
1. Tuchin V. V. (2006) Optical clearing of tissues and blood. – Bellingham: SPIE Press.
2. Matoltsy, A. G. (1969). Keratinization of the avian epidermis: an ultrastructural study of the newborn chick skin. Journal of Ultrastructure Research, 29(5-6), 438-458.
3. Macdonald, C., Meglinski, I. (2011). Backscattering of circular polarized light from a disperse random medium influenced by optical clearing. Laser Physics Letters, 8(4), 324-328.
mailto:[email protected]
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[17]
RAMAN AND ATR FTIR SPECTROSCOPY IN THE STUDY OF CHEMICAL REACTION RATES
I.A. Balakhnina, N.N. Brandt*, A.Yu. Chikishev, A.A. Mankova, I.G. Shpachenko
Faculty of Physics and International Laser Center, Lomonosov Moscow State University,
Moscow, 119991 Russia *Contact: [email protected]
Keywords: Raman spectroscopy, FTIR, ATR FTIR, chemical reactions, reaction rate, chemical kinetics,
enzymes, functional activity
We apply Raman and ATR FTIR spectroscopy for the study of the kinetics of chemical reactions. We
have shown that the reaction rates of chemical reactions can be determined using Raman spectroscopy
by measuring time dependence of Raman spectra of reaction mixture. Reaction of alkaline hydrolysis
of ethyl acetate is considered as an example. The results are in good agreement with available
literature data. Reaction kinetics is represented as a plot of the intensity of a Raman band versus time.
Fitting of experimental kinetics with analytical solution of kinetic equations allows one to determine
reaction rates. Besides, we measure temperature dependence of reaction rates and thus calculate
activation energy. Raman spectroscopy was also used to analyze the enzymatic reaction kinetics
(hydrolysis of 2,4-dinitrophenyl acetate catalyzed by α-chymotrypsin).
The kinetics obtained for the same reaction using Raman and ATR FTIR spectroscopy are
often different. The reason for that is the specific interaction of the components of reaction solution
with the surface of ATR crystal. We found the spectral changes occurring with time for several pure
substances and chemically stable mixtures applied on attenuated total reflection surface.
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[18]
TOWARD VIRTUAL BIOPSY. MULTIMODAL SPECTROSCOPY FOR CANCER DETECTION
Bratchenko I.A.*1, Artemyev D.N.1, Myakinin O.O.1, Khristoforova Yu.A.1, Moryatov A.A.2,
Kozlov S.V.2 and Zakharov V.P.1 1Department of laser and biotechnical systems, Samara University, Samara, Russia
2Department of oncology, Samara State Medical University, Samara, Russia
*Contact: [email protected]
Keywords: cancer, optical biopsy, Raman spectroscopy, autofluorescence, OCT, hyperspectral imaging
Problem of increased incidence of cancer is known worldwide. For instance yearly in Russia more than 550
thousand cases of cancer are registered and the largest amount of deaths caused by cancer are due to skin and
lung cancers. Moreover about 13 – 15 % of deaths in Russia are caused by cancers [1]. It is necessary to find
a new ways of early cancer detection. Optical methods may be very useful for tissues analysis and tumor type
determination. They allow for finding a chemical composition of tested tissues in vivo and in real time mode
[2]. In our study complex investigation of malignant tumors diagnosis was performed involving combined
optical coherence tomography (OCT), Raman spectroscopy (RS), autofluorescence (AF) analysis and
hyperspectral imaging. Combined setup was used for common skin and lung malignant tumors analysis and
for precise tissue morphology visualization. For example, the differentiation of skin melanomas and basal cell
carcinomas (BCCs) was demonstrated based on combined analysis of RS and AF spectra stimulated by visible
and NIR lasers. A number of spectroscopic criteria utilizing information about alteration of melanin,
porphyrins, flavins, lipids, and collagen content in tumor with a comparison to healthy skin were proposed [3].
It was shown that the accuracy of cancerous tissues classification reaches more than 97% for a combined
multimodal algorithm and PCA data analysis (Figure 1), while the accuracy determined separately for each
modality does not exceed 79%. In general AF allows for scanning large tissue areas and detecting abnormal
formations, while imaging techniques helps to analyze tumor topology and invasion area. Adding RS analysis
allows for precise determination of biomechanical composition of tumor and exact tumor type determination
as a result.
Fig. 1: Melanomas and BCC classification on the phase plane with joint VIS AF monitoring of porphyrins composition
and relative content of porphyrins, lipids and flavins.
1. P.E. Goss et al., “Challenges to effective cancer control in China, India, and Russia,” Lancet Oncol. 15, 489–538,
2014.
2. T.D. Wang and J. Van Dam, “Optical Biopsy: A New Frontier in Endoscopic Detection and Diagnosis,” Clin
Gastroenterol Hepatol, 2(9), 744–753, 2004.
3. I.A. Bratchenko et al., “Combined Raman and autofluorescence ex vivo diagnostics of skin cancer in near-infrared
and visible regions” Journal of Biomedical Optics, 22 (2), 027005, 2017.
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[19]
LASER-INDUCED SURFACE GRAPHITIZATION OF DIAMOND FOR METAMATERIAL
FABRICATION
Margarita Dezhkina*1, Maxim Komlenok1, 2, Sergey Lebedev2, Gennady Komandin2,
Vitaly Konov1, 2
1National Research Nuclear University MEPhI, Moscow 2A.M. Prokhorov General Physics Institute RAS, Moscow
*Contact: [email protected]
Keywords: laser, graphitization, diamond, metamaterial
Nowadays laser technology is widely used in microstructuring of diamond for fabrication of new optic [1] and
electronic [2] elements. For example, Kononenko et al. applied laser technique for relief formation on the
diamond surface, and as a result diffraction optical element was fabricated [3]. Such element can be used for
control of powerful radiation due to transparency and high thermal conductivity of diamond. It should be
mentioned that thin graphitized layer, which absorbed part of the incident radiation, remained on the diamond
surface after its processing. In this connection graphitic material was removed from diamond surface. But if
one does not remove graphitized layer then conductor-dielectric compound can be created. These elements in
which new optical properties appear due to the periodic alternation of conductive and dielectric structures are
called metamaterials.
In this work, periodic structure of graphitized paths with length of 4200, width of 15 and period of 30 μm was
created on the diamond surface. For this purpose, excimer KrF-laser (CL 7100, τ = 20 ns, λ = 248 nm) was
used. Figure 1 shows the microscope image of the sample after laser processing. Optical properties of sample
were investigated in the frequency range of 900-1200 GHz. Electromagnetic waves with two type of
polarization passed through the sample during the experiment. Figure 2 illustrates the results of measurements.
It was demonstrated that this structure can filter THz-radiation with certain polarization. Optical element was
transparent for radiation with one type polarization, and transmittance decreased in case of waves with another
type of polarization. The result demonstrates the possibility of using laser-induced graphitization for
fabrication of metamaterials with different optical properties by varying geometry of conductive paths.
Fig. 1: Periodic graphitized lines on the diamond surface, Fig. 2: Transmittance spectra of graphitized grid on the
fabricated by means of irradiation with excimer laser diamond substrate
M. Dezhkina acknowledges funding from National Research Nuclear University MEPhI. This work was
supported by the Russian Science Foundation (project “Carbon photonics”). M. Komlenok acknowledges
funding from Russian Foundation for Basic Research grant 16-32-60179.
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[20]
PHYSICAL PRINCIPLES OF DESIGN OF METAMATERIAL ABSORBER BASED ON
ELECTRICAL RING RESONATORS
Daniel Gomon*1, Egor Sedykh1, Kirill Zaitsev2, Mikhail Khodzitsky1
1ITMO University, Saint Petersburg, 197101, Russia
2Bauman Moskow State Technical University, Moscow, 105005, Russia
*Contact: [email protected]
Keywords: Metamaterials, Terahertz spectroscopy, Time-resolved Spectroscopy
Metamaterial devices for terahertz (THz) frequency range have been a subject of close attention for the last decade [1–
4]. A reason behind this interest is a need for materials with strong absorption in terahertz frequency range for such
applications as terahertz sensing, hyperspectral imaging and screening [5]. Such materials could be realized on base of
metasurfaces with resonant elements as electrical ring resonators (ERR). The aim of this work is analysis of physical
processes occurring in such structures for development of ideal absorber in THz frequency range. For investigation of
physical processes influences of absorber layers thicknesses, ERR geometric parameters and incidence radiation
polarization angles on reflection spectrum were investigated. After theoretical optimization metamaterial absorber with
absorptivity peak of 99.8% was fabricated.
Fig. 1: The influence of the polyimide SU-8 layer thickness on the resonant peak absorptivity
Fig. 2: The reflection coefficient of the experimental metamaterial absorber samples for polarization angles = 0 (solid
curve) and = 90 (dotted curve)
1. N. I. Landy, S. Sajuyigbe, J. J. Mock, D. Smith, and W. J. Padilla, “Perfect Metamaterial Absorber,” Phys. Rev. Lett. 100,
pp. 207402-1–4, 2008
2. X. Shen, T. J. Cui, Junming Zhao, H. F. Ma, W. X. Jiang, and H. Li, “Polarization-independent wide-angle triple-band
metamaterial absorber,” Optics Express 19(10), pp. 9401–9407, 2011
3. J. Grant, Y. Ma, S. Saha, A. Khalid, and D. R. S. Cumming, “Polarization insensitive, broadband terahertz metamaterial
absorber,” Opt. Lett. 36(17), pp. 3476–3478, 2011
4. B. Wang, X. Zhai, G. Wang, W. Huang, and L. Wang, “A novel dualband terahertz metamaterial absorber for a sensor
application,” Journal of Applied Physics 117(1), pp. 014504, 2015
5. S. A. Kuznetsov, A. G. Paulish, A. V. Gelfand, P. A. Lazorskiy, and V. N. Fedorinin, “Matrix structure of metamaterial
absorbers for multispectral terahertz imaging,” Progress In Electromagnetics Research 122, pp. 93–103, 2012
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[21]
INFLUENCE OF GLUCOSE CONCENTRATION ON BLOOD OPTICAL PROPERTIES IN THZ
FREQUENCY RANGE
S.I. Gusev*1, P.S. Demchenko1, O.P. Cherkasova2, V.I. Fedorov1,3, and M.K. Khodzitsky1 1Photonics and Optical Information Technology Department, ITMO University, St.Petersburg,, Russia
2Institute of Laser Physics of SB RAS, Novosibirsk, Russia
3Automation and Computer Engineering Department, Novosibirsk State Technical University,
Novosibirsk, Russia
*Contact: [email protected]
Keywords: Spectroscopy, terahertz; Blood or tissue constituent monitoring.
Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from
defects in insulin secretion, insulin action, or both [1]. There is a direct relationship between the level
of glucose in the blood of patients with diabetes and the probability of developing complications of
the disease [2]. Accurate and efficient assessment of blood glucose concentration is critical in clinical
management of many pathological conditions in human population.
One of the most important benefits of terahertz spectroscopy methods is the possibility of non-
invasive analysis of biological samples [3]. Transmission mode of spectroscopy is common way for
collecting data about easy extractable media. On the one hand transmission mode of medium analysis
provides accurate results, but can be unsuitable for completely non-invasive investigation of
biological tissues and fluids [4, 5]. On the other hand, reflection mode of spectroscopy cannot be used
for direct blood optical measurement due to the location of blood below the surface of the human
body. Moreover, THz reflected signal considerably weakened due to the water contained in the skin
layer. Despite this, capillar blood located in fingers' nail beds may be investigated through the nails
in the reflection mode.
In this work, optical properties of blood with different glucose concentrations were obtained using
THz time-domain spectroscopy. Based on it, dependencies of glucose concentrations C glucose with
complex refractive index (ηreal and ηimag), absorption coefficient (α), penetration depth (L) complex
permittivity (εreal and εimag) real were presented. These data have been received for the first time in
the THz frequency range. It will be helpful in the process of creating a spectroscopic method of blood
glucose measuring.
1. “Classification and diagnosis of diabetes,” Diabetes Care, 38, S8, 2014.
2. Ceriello, A. and Colagiuri, S., “International diabetes federation guideline for management of postmeal glucose: a
review of recommendations,” Diabetic Medicine, 25(10), 115, 2008.
3. Pickwell, E., Cole, B., Fitzgerald, A., Pepper, M., and Wallace, V., “In vivo study of human skin using pulsed terahertz
radiation”, Physics in Medicine and Biology, 49(9), 1595, 2004.
4. Gusev, S., Borovkova, M., Strepitov, M., and Khodzitsky, M., “Blood optical properties at various glucose level values
in THz frequency range,” in [European Conferences on Biomedical Optics], 95372A–95372A, International Society for
Optics and Photonics (2015).
5. Gusev, S., Balbekin, N., Sedykh, E., Kononova, Y. A., Litvinenko, E., Goryachuk, A., Begaeva, V., Babenko, A. Y.,
Grineva, E., and Khodzitsky, M., “Influence of creatinine and triglycerides concentrations on blood optical properties of
diabetics in THz frequency range,” Journal of Physics: Conference Series, 735(1), 012088, 2016.
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[22]
ADVANCING OPTICAL COHERENCE TOMOGRAPHY WITH NUMERICAL TECHNIQUES
Mikhail Kirillin
Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov St., Nizhny Novgorod, Russia, 603950
Contact: [email protected]
Keywords: optical coherence tomography, Monte Carlo simulations, histogram analysis
Optical coherence tomography (OCT) is a modern imaging modality actively penetrating both into medical
practice and industrial applications. Being based on principles of low coherence interferometry OCT technique
benefits from non-invasive/non-destructive imaging with spatial resolution down to units of microns at depths
up to several mm. In medical practice OCT is widely employed for tissue diagnosing and treatment monitoring.
Besides common application in ophthalmology, OCT is employed dermatology, stomatology, gynecology,
vascular diagnostics etc. In material science OCT is used for production and processing control. Many OCT
applications may be advanced by employment of numerical techniques that allow to predict the abilities of
OCT systems for particular tasks and quantify diagnostics results by images processing and segmentation.
This paper overviews the approaches to numerical simulations and processing of OCT images that enhance
the technique performance. Simulation of OCT images is based on a model of propagation of probing radiation
in the studied medium accounting for detection conditions. Both analytical and numerical approaches can be
employed. Unfortunately, application of analytical models is limited to simple object geometries while
numerical techniques provide much wider abilities. One of the most efficient techniques for simulation of light
propagation in tissues is Monte Carlo technique allowing to trace individual photon trajectories and study the
details of signal and image formation. In this presentation particular Monte Carlo applications allowing to
simulate the OCT systems that do not exist yet, separate multiple scattering contribution in the entire signal
and develop techniques for image processing are considered.
Next class of numerical techniques employed in OCT enhancement is image quantification. These techniques
consist in recovering different quantitative parameters, such as object optical properties, speckle statistics
parameters or a customized score aimed for particular OCT application. The presentation reviews recent
achievement in OCT image scoring that allowed to increase the diagnostic accuracy of the technique in several
clinical applications. Another class of numerical methods widely employed in OCT is image segmentation.
Different segmentation techniques are based on pixel intensity characterization or similarity principles.
To conclude, numerical techniques allows both for prediction of perspective OCT systems potential and
enhancing diagnostic accuracy of existing OCT inspection protocols.
The study is supported by Russian Science Foundation (project # 17-15-01264).
mailto:[email protected]
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[23]
OPTICAL TWEEZERS: PRINCIPLES AND SELECTED APPLICATIONS
Matti Kinnunen
Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Contact: [email protected]
Keywords: optical tweezers, calibration, red blood cell, elastic light scattering
Optical tweezers (OT) allows for non-contact trapping and manipulating single micro- and nano-sized particles
using tightly focused laser beam. An important feature of OT is that they can measure forces ranging from
several pN to almost hundred pN. Such forces characterize the interactions between biological cells and
macromolecules. Multi-channel laser tweezers allow simultaneous trapping and manipulating with multiple
particles (or cells). It makes the OT approach a powerful tool for assessing the mechanisms of biological
structures’ interaction at single cell level [1,2,3].
In order to make quantitative measurements, OT must be calibrated. Calibration of optical tweezers means
determining the trap stiffness and trapping force magnitude for certain intensities of the laser beam.
Consequently, the force exerted onto an object as a function of the measured displacement of the object in the
trap is then known. OT can be also used to keep the cells in place, when applying additional instrumentation.
As an example, elastic light scattering distributions can be measured from trapped cells [4].
In this presentation, basics of optical tweezers as well as basic calibration methods are presented. Then the
usability of the optical tweezers to study light-matter interactions at the single particle and cell level as well as
between several particles/cells is summarized. As another application area, OT is used to study RBC interaction
mechanics.
1. K. Lee, M. Kinnunen, M. Khokhlova, E. Lyubin, A. Priezzhev, I. Meglinski, and A. Fedyanin, “Optical tweezers study of red blood cell aggregation and disaggregation in plasma and protein solutions,” Journal of Biomedical
Optics, 21(3), 035001, 2016.
2. K. Lee, M. Kinnunen, A. V. Danilina, A. V. Priezzhev, V.D. Ustinov, I. Meglinski, S. Shin"Characterization of shear stress preventing the red blood cells from aggregation at the individual cells level and in whole blood sample",
Journal of Biomechanics, 49(7), PP. 1021–1026, 2016.
3. K. Lee, A. V. Danilina, M. Kinnunen, I. Meglinski and A. V. Priezzhev, ” Probing the Red Blood Cells Aggregating Force with Optical Tweezers,” Journal of Selected Topics in Quantum Electronics, 22(3), 7000106, 2016.
4. M. Kinnunen, A. Karmenyan, “Overview of single-cell elastic light scattering techniques,” Journal of Biomedical Optics, 20(5), 051040, 2015.
mailto:[email protected]
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[24]
SPECTRAL INVESTIGATION OF ULTRANARROW-LINEWIDTH DISTRIBUTED-FEEDBACK
RESONATORS BELOW LASER THRESHOLD
Cristine C. Kores*1, Dimitri Geskus1, Nur Ismail1, Meindert Dijkstra2, Edward H. Bernhardi1,3, and
Markus Pollnau1 1Materials and Nano Physics, Department of Applied Physics, School of Engineering Sciences, KTH – Royal Institute of
Technology, Stockholm, Sweden 2Optical Sciences, MESA+ Institute, University of Twente, Enschede, The Netherlands
3visiting scientist
*Contact: [email protected]
Keywords: distributed-feedback resonators, narrow linewidth, coupled mode theory.
Distributed-feedback lasers (DFB) have the unique characteristic of allowing ultranarrow-linewidth laser emission, which can be exploited for sensor applications [1], for it constitutes a high resolution, real time, label- free sensing platform [2].
In this work, we characterize the spectral behaviour of a DFB laser resonator [3] below its laser threshold. The investigated device is an amorphous Al2O3 channel waveguide of 1 cm length, 2.5 1.0 µm2 lateral cross section, and an Yb3+ concentration of 4.37 1020 cm-3, with a corrugated homogeneous
Bragg grating of strength ~ 8.5 inscribed into its SiO2 top cladding of 100 nm thickness. The device shows a resonance inside the reflection band due to an adiabatic /4 phase shift. The Yb3+ ions are excited with increasing levels of pump power at 980 nm up to the point where the device reaches its laser threshold, and the full-width-at-half-maximum linewidth of the Lorentzian-shaped resonance near 1029 nm, corresponding to a single longitudinal mode, is measured by use of a scanning narrow-linewidth laser source. The increasing gain elongates the photon decay time out of the resonator and, consequently, narrows the spectral line shape of the resonance. The linewidth decrease of the resonance from u in the unpumped case, i.e., including losses due to absorption by Yb3+ ions in their ground state, to L in the pumped case can be calculated from the equation L = u –cg/2 [4], in which g is the relative gain per unit length and c is the speed of light in the active medium. Gain measurements were carried out by use of a pump-probe technique to obtain the value of g as a function of pump power. The linewidth as a function of pump power is calculated from the experimentally measured values of the relative gain per unit length.
The measured linewidth of the resonance peak narrows as a function of pump power. The observed shift in the peak wavelength is due to heat dissipated by the absorbed pump power, which changes the refractive index of the material and causes a physical expansion of the grating. The results of the linewidth measurement and the linewidth expected from the measured gain are discussed.
1. E. H. Bernhardi, K. O. van der Werf, A. J. F. Hollink, K. Wörhoff, R. M. de Ridder, V. Subramaniam, and M. Pollnau, “Intra-laser-cavity microparticle sensing with a dual-wavelength distributed-feedback laser”, Laser
Photonics Rev. 7 (4), pp. 589-595, 2013.
2. S.V. Pham, M. Dijkstra, A.J.F. Hollink, L.J. Kauppinen, R.M. de Ridder, M. Pollnau, P.V. Lambeck, H.J.W.M. Hoekstra, “On-chip bulk-index concentration and direct, label-free protein sensing utilizing an optical grated-
waveguide cavity”, Sens. Actuator B: Chem. 174, pp. 602-608, 2012.
3. E. H. Bernhardi, M. R. H. Khan, C. G. H. Roeloffzen, H. A. G. M. van Wolferen, K. Wörhoff, R. M. de Ridder, and M. Pollnau, “Photonic generation of stable microwave signals from a dual-wavelength Al2O3:Yb3+
distributed-feedback waveguide laser”, Opt. Lett. 37 (2), pp. 181-183, 2012.
4. M. Eichhorn and M. Pollnau, “Spectroscopic foundations of lasers: Spontaneous emission into a resonator mode”, IEEE J. Sel. Top. Quantum Electron. 21 (1), 9000216, 2015.
mailto:[email protected]
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[25]
REMOTE PHOTOPLETHYSMOGRAPHY SYSTEM FOR CONTACTLESS REGIONAL
ANESTHESIA MONITORING IN OPERATING ROOM
M. Lange*1, U. Rubins1 and A. Miscuks2 1University of Latvia, Institute of Atomic physics and Spectroscopy, Riga, Latvia
2Hospital of Traumatology and Orthopedics, Riga, Latvia
*Contact: [email protected]
Keywords: remote photoplethysmography, regional anesthesia, skin perfusion
In orthopedic surgeries when delivering the anesthetic it is often not so easy to actually recognize the moment when the
regional anesthesia (RA) has become effective and the surgeon can begin to cut. So far there are a few subjective methods
widely used, like the temperature or touch test. We propose a method that is non-invasive and can give measurable
evaluation in the moment when the anesthetic has become effective.
A simple and inexpensive remote photoplethysmography (rPPG) system for monitoring the effectiveness of regional
anesthesia was developed and tested in the operating room (OR). The system involves surgical lamp as light source,
compact video camera and computer with custom developed software. Data from eight patients were processed and the
effectiveness of regional anesthesia was calculated.[1, 2]
Fig. 1: The principle of rPPG technique
Local anesthetic affects the sympathetic vascular tone by resulting in vasodilation and subsequent rising of
microcirculation intensity in the palm skin. This leads to the increase of amplitude of fast-varying rPPG signal detected
by our system. The effectiveness of RA was evaluated in 8 clinical cases in Hospital of Traumatology and Orthopedics,
Riga, Latvia.
The perfusion response slightly differs across the patients, depending on the heterogeneity of the group of patients and
the variance of anesthetic procedure. The PPGA maximum value (100%) was found empirically: from the subject having
best RA effect, and 50% of PPGA maximum value was suggested as the threshold of a successful anesthesia. The
effectiveness of RA was expressed by PPGA signal maxima/minima ratio, which is different from subject to subject.
The results showed that the standard surgical lamp can be used as a light source together with the high dynamic range
camera for remote monitoring of skin microcirculation. In future this kind of a quantitative contactless imaging tool can
become a useful medical device for anesthesiologists in ORs.
1. M. Kumar, A. Veeraraghavan, and A. Sabharwal. DistancePPG: Robust non-contact vital signs monitoring using a
camera. Biomed. Opt. Express, vol. 6, no. 5, p. 1565, May 2015.
2. U. Rubins, J. Spigulis, A. Miscuks. Photoplethysmography imaging algorithm for continuous monitoring of regional
anesthesia. ESTIMedia'16 Proc. of 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, pp.
67-71 (2016).
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[26]
NANODIAMOND STRUCTURES FOR FIBER OPTICS DEVICES
Daria Majchrowicz*, Paweł Wierzba, Małgorzata Jędrzejewska-Szczerska
Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Department of
Metrology and Optoelectronics, Gabriela Narutowicza Street 11/12, 80-233 Gdańsk, Poland
*Contact: [email protected]
Keywords: low-coherence interferometer, nanodiamond thin film, fiber optic, reflective layers
Nanodiamond is one of new materials that stimulate the progress in optoelectronic devices. One of the most promising
Nanodiamond classes is nanocrystalline diamond films. They have remarkable properties like optical transparency in a
broad wavelength range, chemical stability and biocompatibility. Their conductivity and refractive index can be modified
by boron doping. For instance, increasing boron level will decrease transmittance of thin diamond film also influence
refractive index.
A low-coherence sensor using interferometer with diamond reflective layer was designed and built. Its performance was
investigated for selected diamond films. The diamond films can be used in low-coherence interferometric sensors as a
protective coating or reflective layer. The diamond films were synthesized using Microwave Plasma Enhanced Chemical
Vapour Deposition (µPE CVD), which allows us to tune their properties as: thickness, grain size, roughness, chemical
composition and surface morphology by changing the process conditions. Measurements were performed using two
superluminescent diodes (SLD) with wavelengths of 1300 mm and 1550 mm. Detection of the measured signal was
performed using an optical spectrum analyzer (Ando AQ6319). All devices were connected with single-mode
telecommunications fiber (SMF-28).
The preliminary results show that deposition parameters have influence on the optical properties of investigated films.
The boron-doped film used as the reflective surface allows us to achieve very good visibility of the signal for the much
smaller cavity lengths than those of conventional sensors employing other reflective layers.
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[27]
IMAGING OF EXTRACELLULAR NANO VESICLES EXOSOMES IN MENTAL HEALTH
Atiqul Haq Mazumder*1, Seppo Vainio2 and Juha Veijola3 1Doctoral Student, Department of Biochemistry and Molecular Medicine, University of Oulu, Finland.
2Professor, Biocenter Oulu, Department of Biochemistry and Molecular Medicine, University of Oulu, Finland.
3Professor, Department of Psychiatry, University of Oulu, Finland
*Contact: [email protected]
Keywords: exosomes, mental health, nano vesicles
Exosomes (EXs) are nano sized (30-100 nm) extracellular vesicles released by the mammalian cells. They cargo wealth
of key regulatory to close but also distant cells representing a newly identified humoral system.
EXs form by inward bulging of the walls of late endosomes entrapping cocurrently the cargo molecules to them. The
multi vesicular bodies serve to release EXs through the cell membranes. EXs are widely distributed in different types of
biological fluids including breast milk, saliva, urine, blood and cerebrospinal fluid. They can traverse the blood brain
barriers and can be distributed even to the very distant parts of the body to carry their cargo. Functions: EXs contain
several types of molecular factors such as micro-ribonucleic acids (miRNAs), messenger ribonucleic acids (mRNAs),
genomic deoxyribonucleic acids (gDNAs), proteins, lipids and metabolites. They spread several kinds of infections,
cancers and diseases to nearby or distant tissues. EXs have some causative roles in Alzheimer's disease, Parkinson's
disease, Prion disease, schizophrenia and bipolar disorders. Prospects in mental health: EXs serve likely as valuable
predictive, diagnostic and prognostic markers for mental health disorders. In addition they can be used to transport f.ex.
nano-magnets and nano-gold to develop novel in vivo imaging capasity for brain imaging via functional Magnetic
Resonance Imaging (f-MRI). They can be used as therapeutic carriers for example of edited RNA spesies for brain
transport from brain to peripheral tissues and vice versa. Conclusion: The exosomes have a proven diagnostic and
prognostic role as well as promising therapeutic role in teranostics and cargo of mRNAs, stem cells, cytokines and other
metabolites to target tissues such as the brain. They offer great avenues for the imaging of neuropsychiatric
malfunctioning and associated novel therapeutics.
1. Kalra H, Gregor P, Drummen GPC, Mathivanan S. Focus on extracellular vesicles: introducing the next small big
thing. International Journal of Molecular Science 2016 Feb;17(2):170.
2. Stoicea N, Du A, Lakis DC, Tipton C, Arias-Morales CE, Bergese SD. The MiRNA journey from theory to practice
as a CNS biomarker. Frontières of Genetics. 2016 Feb 9;7:11.
3. Zappulli V, Friis KP, Fitzpatrick Z, Maguire CA, Breakefield XO. Extracellular vesicles and intercellular
communication within the nervous system. The Journal of Clinical Investigation. 2016 Apr;126(4):1198–1207.
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[28]
MITIGATING TRANSMITTER NON-LINEARITY AND FIBER IMPAIRMENTS IN RADIO OVER
FIBER TECHNOLOGY
Dhananjay Patel* and Upena Dalal
Electronics Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India
*Contact: [email protected]
Keywords: Radio over Fiber (RoF), Single Sideband Generation (SSB), Single and Multimode fiber,
Orthogonal Frequency Division Multiplexing (OFDM)
Single mode fibers (SMF) are typically used in Wide Area Networks (WAN), Metropolitan Area Networks (MAN) and
also find applications in Radio over Fiber (RoF) architectures supporting data transmission in Fiber to the Home (FTTH),
Remote Antenna Units (RAUs), in-building networks etc [1]. Multi-mode fibers (MMFs) with low cost, ease of
installation and low maintenance are predominantly (85% to 90%) deployed in in-building networks providing data access
in local area networks (LANs). The transmission of millimeter wave signals through the SMF in WAN and MAN, along
with the reuse of MMF in in-building networks will not levy fiber reinstallation cost. The transmission of the millimeter
waves experiences signal impairments due to the transmitter non-linearity and modal dispersion of the MMF [2]. The
MMF exhibiting large modal dispersion limits the bandwidth-length product of the fiber. The second and higher-order
harmonics present in the optical signal fall within the system bandwidth. The power of these harmonics is proportional to
the non-linearity of the transmitter and the modal dispersion of the MMF. In this work, a mathematical model is developed
for Second-order Harmonic Distortion (HD2) generated due to non-linearity of the transmitter and chromatic - modal
dispersion of the SMF-MMF optic link. The model consists of a Mach Zehnder Modulator (MZM) that generates two m-
QAM OFDM SSB signals based on phase shift of the hybrid coupler (90° and 120°) [3].
Figure: Setup for the generation of both SSB
modulation techniques
Figure. Effect of HD2 due to MZM non-linearity and
modal dispersion over different MMF length
Our results show that the SSB signal with 120° hybrid coupler has suppresses the higher-order harmonics and makes the
system more robust against the HD2 in the SMF-MMF optic link [4]. This provides better system performance against
the MZM non-linearity, the chromatic/modal dispersion of the SMF -MMF optic link. In future we plan to develop
bidirectional architecture of RoF system to increase the data rate and which can overcome all the losses of the fiber
indicated above and also the Rayleigh Backscattering associated with bidirectional transmission.
1. Beas, J.; Castanon, G.; Aldaya, I.; Aragon-Zavala, A.; Campuzano, G., "Millimeter-Wave Frequency Radio over Fiber
Systems: A Survey," in IEEE Communications Surveys & Tutorials, vol.15, no.4, pp.1593-1619, Fourth Quarter 2013
2. Gasulla and J. Capmany, "Transfer function of multimode fiber links using an electric field propagation model:
Application to Radio over Fibre Systems," Opt. Express 14, 9051-9070 (2006)
3. Dhananjay Patel, Vinay Kumar Singh & U. D. Dalal (2016): Assessment of Fiber Chromatic Dispersion Based on
Elimination of Second-Order Harmonics in Optical OFDM Single Sideband Modulation Using Mach Zehnder
Modulator, Fiber and Integrated Optics, 35.4 (2016) 181–195
4. Dhananjay Patel, Vinay Kumar Singh, U.D. Dalal, Analysis of second order harmonic distortion due to transmitter
non-linearity and chromatic and modal dispersion of optical OFDM SSB modulated signals in SMF-MMF
fiber links, Optics Communication, 383 (2016) 294–303.
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[29]
SHORT-RANGE SUPERCONTINUUM LIDAR FOR TEMPERATURE PROFILING
Antti Aalto1, Tommi Mikkonen1, Abba U. Saleh1,2 and Juha Toivonen1
1Laboratory of Photonics, Tampere University of Technology, Tampere, Finland 2 Valmet Technologies Oy, Energy Services, Lentokentankatu 11, Tampere, Finland
*Contact: [email protected]
Keywords: supercontinuum, LIDAR, remote-sensing
LIDAR (Light Detection and Ranging) is a remote-sensing technique based on collection of back scattered
electromagnetic radiation form a target point. The interaction of this radiation with atmospheric gases and
aerosol particles pave way for the measurement of various atmospheric variables, such as temperature,
pressure, humidity, trace gases, etc. [1]. Although the LIDAR technique has been consistently used to measure
atmospheric observables, the technique is typically limited to one specie at a time. However, supercontinuum
sources have raised the hope for simultaneous measurement of multiple species, via provision of extremely
broad spectrum, which covers the absorption bands of the entire molecules/compounds under investigation
[2].
Herein, a new technique is developed for temperature mapping in thermal devices, like combustion power
plants, using a supercontinuum-based LIDAR. The device is designed to measure temperature profile inside
the furnace using one opening. The technique is based on differential absorption between three wavelength
bands. Fig. 1 shows the schematic of the device, where supercontinuum light pulses are guided into a furnace
comprising of various particles and gases such as COx, NOx, H2O. Aerosol particles scatter the incoming light,
the back-scattered lights are collected and individual wavelength bands are detected and their corresponding
intensities are recorded as a function time. Fig. 2 shows H2O transmittance with a typical 14% concentration
and 10 m interaction length, where variation in transmittance with temperature is observed. By selecting and
comparing certain wavelength bands, temperature profile within the thermal device can be determined based
on the differential absorption at these wavelength bands. Our initial laboratory scale measurements
demonstrate temperature measurement accuracy of 10 o C in the range from 700 o C to 1000 o C.
Moreover, molecular number density or concentration can be measured using the same technique. The
uniqueness of this technique is that 2D and 3D temperature profiles can be obtained by sending multiple pulse
sequences while varying their direction of incidence using simple optical components such as mirrors.
1. Weitkamp, Claus, ed. Lidar: range-resolved optical remote sensing of the atmosphere. Vol. 102. Springer
Science & Business, 2006.
2. Méjean, G., et al. "Towards a supercontinuum-based infrared LIDAR." Applied Physics B: Lasers and
Optics 77, 357 – 359 (2003).
Fig. 1: Schematic for the temperature mapping technique.
Fig. 2: Transmittance of H2O with 14% concentration at
700 o C and 1200 o C respectively.
mailto:[email protected]
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[30]
FABRICATION OF NOVEL ORGANIC AND INORGANIC THIN FILM TRANSISTORS AND
EXPLORATION OF SUBGAP DENSITY OF STATES
M. R. Shijeesh and M. K. Jayaraj* 1 Nanophotonic and Optoelectronic Devices Laboratory, Department of Physics,
Cochin University of Science and Technology, Cochin 682022, Kerala, India
*Contact: [email protected]
Keywords: thin film transistor, organic, inorganic, density of states
A thin-film transistor (TFT) is a special kind of field-effect transistor made by depositing thin films of an active
semiconductor layer as well as the dielectric layer and metallic contacts over a non-conducting substrate [1-4]. We
fabricated both organic and inorganic thin film transistors and the charge transport of transistors was studied from the
temperature dependent transistor characteristics. N,N′-Dioctyl-3,4,9,10-perylenedicarboximide (n-type) and pentacene (p
type) small molecules were used as the channel materials for organic TFTs. Amorphous zinc tin oxide (n-type) and
copper oxide (p-type) were used as the channel materials for fabricating inorganic TFTs. In order to study the distribution
of the trap states, we have examined the temperature dependent transfer characteristics of transistors in the temperature
range between 300 K and 360 K. The activation energy is determined from the measured data with a linear regression of
Arrheneus plot drawn between ln ID vs 1000/T for each gate voltage. The localized states induced by defects or impurities
are distributed in the band gap and a study of those distributions of localised states in the band gap leads to exploration
of charge transport mechanism in the semiconductor [5]. The knowledge about the charge transport mechanism and
subgap DOS is essential not only for the fundamental understanding of the device operation but for the improving of
device performances.
.
Fig. 1: (a) The output and (b) transfer characteristics pentacene TFT. (c) Density-of-states in the gap of pentacene
1. E. Fortunato, P. Barquinha, and R. Martins, Adv. Mater. 24, 2945 (2012)
2. J.S. Park, H. Kim, and I.D. Kim, J. Electroceramics 32, 117 (2014)
3. P. Barquinha, L. Pereira, G. Goncalves, R. Martins, and E. Fortunato, J. Electrochem. Soc. 156, H161 (2009)
4. Yu-Chun Chen, Ting-Chang Chang, Hung-Wei Li, Wan-Fang Chung, Chang-Pei Wu, Shih-Ching Chen, Jin Lu, Yi-Hsien Chen and Ya-Hsiang Tai, Appl. Phys. Lett, 100, 262908 (2012)
5. J. Puigdollers, M. Della Pirriera, A. Marsal, A. Orpella, S. Cheylan, C. Voz, and R. Alcubilla, Thin Solid Films 517, 6271 (2009)
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[31]
IN-VITRO INVESTIGATIONS ON FLUORESCENCE BEHAVIOR OF URINARY AND KIDNEY
CALCULI
Stephan Ströbl*1, Max Eisel1, Thomas Pongratz1, Stefan Stöberl1,
Frank Strittmatter2, Ronald Sroka1 1 Laserforschungslabor, LIFE-Zentrum, University Hospital Munich, Germany
2 Department of Urology, University Hospital Munich, Germany
*Contact: [email protected]
Keywords: Urology, Urinary Stones, Fluorescence, Laser lithotripsy, Stone clearance
For ureteroscopic Ho:YAG laser lithotripsy laser light of 2100nm is applied onto a urinary calculus, hence energy is
applied to the stone surface, resulting in fragmentation by photothermal and acoustic mechanisms [1]. The major operation
failure could be traced back to an incomplete stone clearance and due to that to a higher risk of relapse [2]. The major
problem of identification is based upon a low contrast difference between the surrounding tissue and the urinary stone
under white light emission, thus small fragments remain untreated. The aim of this project is to circumvent this concern
by taking the advantage of auto-fluorescence of the urinary calculi. The fluorescence behavior of urinary stones was first
used for a safety feature to control the laser energy during lithotripsy [3].
Urinary stones harvested from patients were spectral analyzed in in-vitro
measurements. Excitation-emission-matrices (EEM) were established, clarifying the
wavelength dependent fluorescence behavior of the stones. This confirmed the
selection of green-light excitation, as it was used in previous experiments. Figure 1
illustrates the fluorescence of a urinary stone under green light excitation. To get a
deeper physical understanding of the fluorescence, the EEM data was correlated with
the stone composition gained from Raman spectroscopy. From the correlation
between the stone composition and its fluorescence behavior, the possibility might
arise to characterize the stone’s composition from its characteristic fluorescence
spectrum, which will be part of future studies.
The high relapse rate due to incomplete stone clearance could also be reduced by
considering the fragmentation process itself. Observations show, that this process is
highly influenced by a change in the application laser parameters (energy per pulse, pulse duration, pulse frequency).
Therefore, methods were developed to quantify different physical properties, such as fragmentation time, dusting ratio
and stone movement. The influence of different laser parameters on those quantities was investigated and compared
between each other. An optimized laser setting might remove the targeted stone without producing a significant amount
of small remaining fragments.
It had been illustrated in six large retrospective studies, that the natural cumulative recurrence rate of renal stones is
around 14% at 1 year, 35% at 5 years, and 52% at 10 years [4]. Also recent studies couldn’t show an improvement on
relapse numbers [5]. These examples showed the need for the development of fluorescence assisted clearance detection.
In combination with an optimization process with regard to the laser parameters, a clearance scan at the end of each
lithotripsy for remaining urinary stone fragments might guarantee a fragment free environment in the treated area.
1. H.W. Kang, “Dependence of Calculus Retropulsion on Pulse Duration During Ho:YAG Laser Lithotripsy”, Lasers in
Surgery and Medicine 38, pp. 762-772, 2006
2. J.L. Figueiredo, C.C. Passerotti, “A Novel Method of Imaging Calcium Urolithiasis Using Fluorescence”, The Journal
of Urology 179, pp. 1610–1614, 2008
3. S.P. Dretler, “Review: Urolithiasis – Electrohydaulic and Laser Lithotripsy”, Journal of Endourology 7, Number 5,
1993
4. J. Uribarri, “The First Kidney Stone”, Annals of Internal Medicine 111, pp. 1006-1009, 1989
5. D.A. Rebuck, “The natural history of renal stone fragments following ureteroscopy”, Urology 77, pp. 564-568, 2011
Figure 1: Fluorescence Image of an
urinary stone after excitation at
wavelength between 500 and 570 nm.
mailto:[email protected]
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[32]
SIMULATIONS OF TERAHERTZ WIRE-GRID POLARIZERS ON SUBSTRATE
Alexey D. Trofimov*, Valentin S. Chebotarev and Mikhail K. Khodzitsky
Terahertz Biomedicine Lab., ITMO University, St. Petersburg, Russia
*Contact: [email protected]
Keywords: polarization-selective devices
The terahertz (THz) industry requires the development of new effective optical elements, including THz polarizers. THz
polarizers are required for polarization-sensitive material studies, characterizing polarization of different THz sources,
polarization dependence of THz detectors and other purposes. Powerful THz sources are still a big challenge for the
industry, which requires THz polarizers to have low losses along with effective extinction of undesired polarization.
Several approaches for developing THz polarizers exist. Free-standing wire-grid polarizers can have high extinction ratio
and low losses, but are fragile and hard to manufacture [1]. Robust polarizers with high extinction ratio exist but usually
have considerable losses [2]. One of the approaches suggested for developing an effective THz polarizer is development
of metal wire-grid polarizers on a substrate. A wire-grid provides high extinction ratio while a substrate facilitates easier
manufacturing and enhances robustness of a polarizer; however, it may increase losses. Substrate-based THz polarizers
can also be stacked in a multi-layered configuration thus increasing both the overall extinction coefficient and the overall
losses [3]. Different fabrication technologies vary in parameters they provide such as spatial resolution of resulting
structures and have different financial costs. For this reason, it is important to know how sizes of the fabricated structures
affect performance of the polarizer.
In this work one-layered and multilayered polarizers for terahertz radiation made of metal grating on a substrate are
studied via numerical simulations. The dependencies of extinction ratio and transmission losses on wire grid dimensions
(period, thickness, fill factor), metal type and number of layers of a polarizer have been obtained. The results of the study
can be used for development of an optimal THz polarizer design with acceptable losses and within limits of the chosen
fabrication technology.
Fig. 1: Extinction coefficient for several layers of wire-grid on a silicon substrate
1. Costley A.E. et. al. ”Free-standing fine-wire grids: Their manufacture, performance, and use at millimeter and
submillimeter wavelengths,” J. Opt. Soc. Am. 67, № 7, pp. 979–981, 1977
2. C.-F. Hsieh et. al. ”Polarizing terahertz waves with nematic liquid crystals,” Opt. Lett. 33, pp. 1174-1176, 2008
3. Huang Z. et al. ”Ultra-high extinction tri-layer thin-film wire-grid THz polarizer,” 40th International Conference on
Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, p. 1, 2015
0,0 0,2 0,4 0,6 0,8 1,0
0
10
20
30
40
50
60
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oe
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Frequency, THz
1 layer
2 layers
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3 layers, staggered
mailto:[email protected]
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[33]
WAVELET ANALYSIS FOR TERAHERTZ TIME DOMAIN SPECTROSCOPY
Tianmiao Zhang* and Mikhail K. Khodzinsky
Terahertz Biomedical Laboratory, ITMO University, St. Petersburg, Russia
*Contact: [email protected]
Keywords: wavelets, Fourier transforms, terahertz, time domain spectroscopy
Terahertz has been widely used in many fields and areas [1]. One of the most popular applications is Terahertz Time
Domain Spectroscopy (TDS). TDS can be used to detect properties of biomedical tissue or industrial products [1]. A TDS
system contains a terahertz source, a measured sample and an optical system. A terahertz pulse is generated from the
source and then incident into a sample. The sample reflects, transmits and absorbs the incoming terahertz pulse. By
detecting the spectrum of the reflected or transmitted wave, which can be considered as a TDS signal, some terahertz
properties of the sample can be revealed, such as complex permittivity, complex reflective index and absorption
coefficient.
To get the spectrum of a TDS signal, the most usual method is Fourier transform. Fourier-transform converts a signal
from time domain to frequency domain. As is well-known, noise spectrums appear with signal spectrums. To increase
the signal-noise-ratio, filters must be used, and the cutoff frequencies of filters are determined by the result of Fourier
transform. The disadvantage of Fourier transform is that from the spectrum we can’t figure out when the noise appeared
and how long it existed directly from the spectrum. If filters are not used properly, some useful information may be filtered
with noises.
In order to filter a TDS signal without losing important information, wavelet-transform can be used. Wavelet transform
is a signal processing method that uses a set of wavelet functions to approximate a signal. Each set of wavelet functions
is formed by changing the scale and position on the time axis of a mother wavelet. Compared with Fourier transform,
wavelet transform contains information in time domain and frequency domain, so the approximation can be done more
accurately. In Fig. 1 a sample mother wavelet and its Fourier-transform are shown.
From the spectrum, we can consider the mother wavelet as a bandpass filter. Because of this, we don’t need to do Fourier
transform first then determine properties of filters, but directly filter the signal by wavelet. To filter noise out of a signal
by wavelet, Mallat algorithm is usually used. In Mallat algorithm, a signal is filtered with a high-pass filter and low-pass
filter, and the cutoff frequencies of these filters are associated with mother wavelets [2]. Mallat algorithm is shown as
below [3]:
Fig. 1. Daubechies wavelet (db4) and its spectrum Fig. 2. Mallat
algorithm
To filter a signal ideally, there are several options we need to determine: mother wavelet, decomposition level and
threshold. There are many criterions that can be used to value each option [4,5]. In our work, with the help of these
criterions, for each TDS signal we chose an optimal set of options. The result shows that with optimal set of options, a
noised signal can be denoised directly by using wavelet, and the effectiveness of wavelet filtration is remarkable.
1. Joo-Hiuk Son, “Terahertz Biomedical Science and Technology” (CRC Press, 2014)
2. Stephane Mallat, Sifen Zhong, “Characterization of Signals from Multiscale Edges” IEEE transactions on pattern
analysis and machine intelligence, Vol.14, No. 4, pp. 710–732, 1992
3. 小波分析及应用, available at https://wenku.baidu.com/view/4ed6ea3031126edb6f1a10e5.html, cited on 2017-04-08
4. Kirill I Zaytsev and el, “An approach for automatic construction of the wavelet-domain de-noising procedure for THz
pulsed spectroscopy signal processing” Journal of Physics: Conference Series, Vol.486, No. 012034, pp. 1–9, 2014
5. Jihong Pei, Weixin Xie, “Optimal wavelet analysis for THz