Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry
Nilay Vora, Prashant Shekar, Taras Hanulia, Michael Esmail, Abani Patra, Irene Georgakoudi
Abstract
We present a deep-learning enabled, label-free flow cytometry platform for identifying circulating tumor cell clusters in whole blood based on the endogenous scattering detected at three wavelengths. The method has potential for in vivo translation.
Topics & Concepts
Flow cytometryCytometryCirculating tumor cellWhole bloodCellIn vivoTranslation (biology)ChemistryComputer scienceMedicineBiologyMolecular biologyImmunologyBiochemistryInternal medicineMessenger RNACancerMetastasisBiotechnologyGeneMicrofluidic and Bio-sensing TechnologiesCancer Cells and MetastasisSingle-cell and spatial transcriptomics