Machine Vision-based Cell Sorting (ViCS)
Characterizing and sorting cells based on image information at
record high-throughput rates by integrating a novel ultrafast
imaging technique with artificial intelligence.
© SSLAB. Creative Commons license CC BY-ND
Ghost Motion Imaging
+ Machine Learning
= Imaging-activated Cell Sorting
Our proprietary ViCS technology has broad potential
applications in life science including:
Label-free high throughput characterization and isolation of cell populations based on machine-predicted labels without the use of physical surface markers or stains.
Functional Genomics / Drug Discovery:
Pooled high content phenotypic screens of genes and drugs compatible with multiple libraries including CRISPR gRNAs, shRNAs, antibodies, and even small compounds.
Image-based identification and isolation of target cells at an unparalleled high throughput rate enables novel types of applications in various research areas including cell-based clinical diagnostics, cell line development, and single cell genomics.
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Interested in our technology?
Contact us to be part of our early access program.