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A Novel Computer Vision System for Integrated Biomolecule and Cell Assays

Authors :
Jonathan J. Hull
Tian Yu
Amar S. Basu
Ashwini Bhat
Anthony Henderson
Source :
2019 IEEE SENSORS.
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Computer vision (CV) is used throughout life sciences for tissue and cell imaging; this paper presents the first demonstration of CV as a biomolecular sensor. We present an integrated sensing and fluid-actuation platform that combines CV with bead-based chemistries to perform both biomolecular and cell-based assays. By rapidly detecting the size and shape of objects at 5-50 micron length scales, the CV system can accommodate a variety of assays that traditionally require separate analytical tools and workflows, providing a greater degree of data integration and automation. This paper demonstrates 3 initial use cases: 1) Semi-quantitation of a biomarker (IgG) using a clustering assay; 2) Enumeration of white blood cells expressing CD45 surface markers using functionalized nanoparticles; and 3) Cell viability detection using dyes. All assays are performed using a single CV platform.

Details

Database :
OpenAIRE
Journal :
2019 IEEE SENSORS
Accession number :
edsair.doi...........c0e746835100bd08c2a55fbe3562cea9
Full Text :
https://doi.org/10.1109/sensors43011.2019.8956633