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Cytometry A. 2008 Oct;73(10):958-64. doi: 10.1002/cyto.a.20627.

A fast, fully automated cell segmentation algorithm for high-throughput and high-content screening.

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  • 1Image Mining Group, Institut Pasteur Korea, Hawolgok-dong, Seongbuk-gu, Seoul 136-791, Korea. dfenistein@yahoo.com

Abstract

High-throughput, high-content screening (HT-HCS) of large compound libraries for drug discovery imposes new constraints on image analysis algorithms. Time and robustness are paramount while accuracy is intrinsically statistical. In this article, a fast and fully automated algorithm for cell segmentation is proposed. The algorithm is based on a strong attachment to the data that provide robustness and have been validated on the HT-HCS of large compound libraries and different biological assays. We present the algorithm and its performance, a description of its advantages and limitations, and a discussion of its range of application.

Copyright 2008 International Society for Advancement of Cytometry.

PMID:
18752283
[PubMed - indexed for MEDLINE]
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