MAY 30, 2019 10:30 AM PDT
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Keynote Presentation: Novel Computer Vision System for Integrated Biomolecule and Cell Assays

C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Vice President of Engineering Research and Digital Assays, Bioelectronica Corporation, Associate Professor, Wayne State University
    Biography
      Amar Basu is vice-president of engineering research at Bioelectronica, while on entrepreneurial leave from Wayne State University where he is associate professor of electrical and computer engineering and biomedical engineering. He received a BSE and MSE in electrical engineering in 2001 and 2003, an MS in biomedical engineering in 2005, and a Ph.D. in electrical engineering in 2008, all with honors from the University of Michigan-Ann Arbor. His dissertation, at the NSF Center for Wireless Integrated Microsystems, investigated interfacial-tension based microfluidic actuators. In 2008, Amar joined Wayne State University, where he has built a research program in multiphase microfluidics and microelectronics for high-throughput screening health monitoring. His lab has published in a variety of areas including digital assays, droplet microfluidics, manipulation using interfacial tension gradients, droplet trapping with laser-based thermocapillary tweezers, sensing based on interfacial phenomena, and wearable sensors for health monitoring. He has received >$2M in funding, the NSF BRIGE award, and the WSU college of engineering outstanding faculty award. Amar serves on the program committees of the Society of Laboratory Automation and Screening (SLAS), IEEE Transducers, and IEEE Sensors conferences.

    Abstract:

    Computer vision (CV) has seen rapid growth in many industries, including the life sciences with high-content cell imaging and phenotypic assays.  However, many biomolecular and cellular assays today typically rely on conventional readouts like spectrophotometry, fluorimetry, and luminescence. Bioelectronica is developing an integrated sensing and fluid-actuation platform (“BE-Platform”) that combines CV, a lensless imager, chemical reagents,  and data science approaches to provide researchers and collaborators with a versatile modern tool for biomolecular and cell-based assays in a single instrument.

    The BE-platform detects the size, darkness, morphology, and other multi-dimensional features of objects at 5-50 micron length scales.  The generality of this approach enables the BE-platform to perform diverse assays and workflows that traditionally require separate analytical tools. The vision is to provide researchers with a cloud-connected technology that integrates data across multiple assays and multiple sites, allowing new forms of workflow automation. 

    This talk will present some of the current capabilities of the BE-platform and their early-stage applications:

    1. Enumeration for cell and bead counting.
    2. Size/morphology for measuring bead-mediated chemistries, including non-enzymatic reagents used to detect biomarkers in cell-growth media
    3. Darkness of beads to a) measure enzyme-linked darkening assays (ELDA), (b) Cell surface markers, and (c) Live/Dead Cell Assays. 

    Learning Objectives: 

    1. Understand how computer vision (CV) can be applied to molecular and cellular assays.
    2. Consider examples of how users may utilize the BE-platform for their own research and application purposes. 


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