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Proceedings Paper

Automated tracking of yeast cell lineages
Author(s): Kyungnam Kim; Amy C. Rowat; Anne E. Carpenter
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Paper 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.

Paper Details

Date Published: 7 September 2010
PDF: 6 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 779823 (7 September 2010); doi: 10.1117/12.859770
Show Author Affiliations
Kyungnam Kim, HRL Labs., LLC (United States)
Amy C. Rowat, Harvard Univ. (United States)
Anne E. Carpenter, Broad Institute of MIT and Harvard (United States)

Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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