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A Novel Computer Vision System for Integrated Biomolecule and Cell Assays
- 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.
- Subjects :
- chemistry.chemical_classification
Imaging flow cytometry
0303 health sciences
business.industry
Computer science
Biomolecule
Cell
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
chemistry
medicine
Biomarker (medicine)
Computer vision
Viability assay
Artificial intelligence
business
Cluster analysis
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 IEEE SENSORS
- Accession number :
- edsair.doi...........c0e746835100bd08c2a55fbe3562cea9
- Full Text :
- https://doi.org/10.1109/sensors43011.2019.8956633