arivis Scientific Image Analysis

Cell Tracking

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Cell Tracking


Color B/W

Before and After Analysis

Interact with the image to see before and after.

Adjust the slider to view the 'before and after' comparison.

Solution Description

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.


cell-tracking-2 (1)

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.

cell-tracking-1 (1)

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).

Deep learning, arivis Cloud, arivis Pro, cell tracking, instance segmentation, cell culture, Celldiscoverer 7

Image Source: Images were kindly provided by Frank Vogler, ZEISS Oberkochen Demo Center