artificial intelligence for signal quality review...time, effort and cost for signal quality...

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Workload Reduction Medium High 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 1.00 0.99 0.98 0.97 0.96 0.95 0.94 0.93 System Accuracy 26% of signals classified at 100% accuracy 93% baseline accuracy Ultrahigh Floodlight™ is a novel software tool developed at Southwest Research Institute® (SwRI®) to provide rapid discovery of known and unknown chemical compounds by automating the signal quality review process. These tools can support client workflows to improve chemical identification. Floodlight is a cheminformatics machine learning tool that can integrate with existing analytical chemistry workflows to support deep analysis of large data sets, including comprehensive two-dimensional gas chromatography/ mass spectrometry (GCxGC/MS). This high-throughput software package can drastically reduce the amount of time, effort and cost for signal quality interpretation. A single sample can yield 100s to 1000s of signals, all potentially significant. The automated review process demonstrates accuracy equivalent to a human expert (93%) or higher. Artificial Intelligence for Signal Quality Review Automated Spectra Review for High-Throughput Mass Spectrometry Workflows Floodlight is a product created by the Artificial Intelligence Mass Spectrometry (AIMS) team at SwRI. The AIMS team includes data scientists and analytical chemists with a mission to expand our understanding of the molecular world. Our expertise in mass spectrometry data analysis draws upon decades of experience in analytical chemistry and computer science to develop algorithms utilizing cheminformatics and machine learning. We provide simple and scalable artificial intelligence solutions for analysis of mass spectrometry data over a broad spectrum of industries.

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  • Workload Reduction

    Medium

    High

    1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0

    1.00

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    93% baseline accuracyUltrahigh

    Floodlight™ is a novel software tool developed at Southwest Research Institute® (SwRI®) to provide rapid discovery of known and unknown chemical compounds by automating the signal quality review process. These tools can support client workflows to improve chemical identification.

    Floodlight is a cheminformatics machine learning tool that can integrate with existing analytical chemistry workflows to support deep analysis of large data sets, including comprehensive two-dimensional gas chromatography/ mass spectrometry (GCxGC/MS). This high-throughput software package can drastically reduce the amount of time, effort and cost for signal quality interpretation.

    A single sample can yield 100s to 1000s of signals, all potentially significant.

    The automated review process demonstrates accuracy equivalent to a human expert (93%) or higher.

    Artificial Intelligence for Signal Quality ReviewAutomated Spectra Review for High-Throughput Mass Spectrometry Workflows

    Floodlight is a product created by the Artificial Intelligence Mass Spectrometry (AIMS) team at SwRI. The AIMS team includes data scientists and analytical chemists with a mission to expand our understanding of the molecular world. Our expertise in mass spectrometry data analysis draws upon decades of experience in analytical chemistry and computer science to develop algorithms utilizing cheminformatics and machine learning. We provide simple and scalable artificial intelligence solutions for analysis of mass spectrometry data over a broad spectrum of industries.

  • We welcome your inquiries.For more information, please contact:

    Andrew Schaub, PhD Keith Pickens, PhDIntelligent Systems AIMS Program Director210.522.6876 [email protected] [email protected]

    Southwest Research Institute is a premier independent, nonprofit research and development organization using multidisciplinary services to provide solutions to some of the world’s most

    challenging scientific and engineering problems. Headquartered in San Antonio, Texas, our client-focused, client-funded organization occupies 1,500 acres, providing more than 2.3 million

    square feet of laboratories, test facilities, workshops, and offices for approximately 3,000 employees who perform contract work for government and industry clients.

    An Equal Employment Opportunity/Affirmative Action EmployerRace/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran

    Committed to Diversity in the Workplace

    ©2020 Southwest Research Institute. All rights reserved.

    Designed & printed by SwRI MPS 15-0320 JCN 263802 tp

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    swri.org

    aims.swri.org

    Obstacles in Non-Target Analysis and Suspect Screening

    • Large amounts of data (thousands of peaks produced)• Manual review of many identified signals (20-50%)

    required due to artifacts or low quality

    • Several man-hours per sample needed to accurately complete initial processing takes

    • Inconsistencies caused by distractions, fatigue, and subjective review decisions

    • Lack of emphasis on pattern analysis, a primary tool for interpretation, due to data overload

    Solutions with Floodlight Cheminformatics

    • Accuracy maintained• Intuitive and modern GUI• High-throughput screening• User-focused to keep the chemist in charge• Signal quality assessments powered by machine

    learning

    • Targeted and non-targeted workflows simplified• Integration with upcoming chemical data correlation

    and visualization tools

    • Three preset levels of automation that meet sensitivity and specificity over a wide range of projects ◦ Ultrahigh level fully automates entire signal review

    process at 93% accuracy

    ◦ High level automates 70% of signals with 97% accuracy ◦ Medium level automates 50% of signals with 99%

    accuracy

    mailto:aschaub%40swri.org?subject=mailto:kpickens%40swri.org?subject=http://swri.orghttps://www.linkedin.com/company/southwest-research-institute/https://www.facebook.com/southwestresearchhttps://www.youtube.com/user/SwRItvhttps://twitter.com/swrihttps://www.instagram.com/southwestresearchinstitute/https://podcast.swri.orghttp://aims.swri.org