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Cell tracking is one of the most challenging time-lapse image-analysis tasks. It is the basis for analyzing cells at the single-cell level and study cell motility in various contexts, for example cancer cell invasion, immune cell migration, and embryo development.
All cells were segmented individually by using instance segmentation (object-based segmentation).
High quality segmentation results were used to track cells over time with high fidelity.
Left image: classification of cell based on size (small in green and large in magenta). Right image: color-coding based on sphericity (round in orange to elongated in blue).
Image Source: Images were kindly provided by Frank Vogler, ZEISS Oberkochen Demo Center