Abstract #301543

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JSM 2003 Abstract #301543
Activity Number: 300
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #301543
Title: Quantitative Microscopy: Statistical Algorithms for Biological Indexes from Fluorescent Images of Cell Populations
Author(s): Daniel A. Coleman*+
Companies: Cytokinetics
Address: 328 W. 36 Ave., San Mateo, CA, 94403-4204,
Keywords: microscopy
Abstract:

We present novel algorithms for measuring biological parameters of in vitro cell populations: cell cycle status and mitotic index from images of cells stained with Hoechst, a fluorescent DNA dye. These measures are important for quantifying the physiological state of cell populations. Automated image analysis programs segment nuclei and measure intensity, morphology of each nucleus. Mixture models classify nuclei by cell cycle phase G1, S, G2 and to mitotic status using intensity and morphology measurements. A large multivariate dataset from several cell lines, subjected to varying concentrations of well-known oncology drugs is presented.

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