Automated tracking of yeast cell lineages

Kyungnam Kim; Amy C. Rowat; Anne E. Carpenter

doi:10.1117/12.859770

7 September 2010 Automated tracking of yeast cell lineages

Kyungnam Kim, Amy C. Rowat, Anne E. Carpenter

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 779823 (2010) https://doi.org/10.1117/12.859770
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

We propose a cell progeny tracking method that sequentially employs image alignment, chamber cropping, cell segmentation, per-cell feature measurement, and progeny (lineage) tracking modules. It enables biologists to keep track of phenotypic patterns not only over time but also over multiple generations. Yeast cells encapsulated in chambers of a polydimethylsiloxane (PDMS) microfluidic device were imaged over time to monitor changes in fluorescence levels. We implemented our method in an automated cell image analysis tool, CellProfiler, and performed initial testing. Once refined and validated, the approach could be adapted/used in other cell segmentation and progeny tracking experiments.

Citation Download Citation

Kyungnam Kim, Amy C. Rowat, and Anne E. Carpenter "Automated tracking of yeast cell lineages", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779823 (7 September 2010); https://doi.org/10.1117/12.859770

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