Label-free live cell recognition and tracking for biological discoveries and translational applications
Biqi Chen, Zi Yin, Wai‐Lung Ng, Dan Wang, Rocky S. Tuan, Ryoma Bise, Dai Fei Elmer Ker
Abstract
Label-free, live cell recognition (i.e. instance segmentation) and tracking using computer vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts of cell populations at single cell resolution. However, this technology remains hindered by the lack of accurate, universal algorithms. This review presents related biological and computer vision concepts to bridge these disciplines, paving the way for broad applications in cell-based diagnostics, drug discovery, and biomanufacturing.
Topics & Concepts
BiomanufacturingComputer scienceSegmentationArtificial intelligenceComputer visionBiologyGeneticsCell Image Analysis TechniquesImage Processing Techniques and ApplicationsDigital Holography and Microscopy