A fast, fully automated cell segmentation algorithm for high-throughput and high-content screening - PubMed (original) (raw)
. 2008 Oct;73(10):958-64.
doi: 10.1002/cyto.a.20627.
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- PMID: 18752283
- DOI: 10.1002/cyto.a.20627
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A fast, fully automated cell segmentation algorithm for high-throughput and high-content screening
D Fenistein et al. Cytometry A. 2008 Oct.
Free article
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.
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