High content cellular imaging for drug development

Xiaobo Zhou; Stephen T.C. Wong

doi:10.1109/MSP.2006.1598095

High content cellular imaging for drug development

Xiaobo Zhou, Stephen T.C. Wong

Research output: Contribution to journal › Article

41 Scopus citations

Abstract

High content screening (HCS) has emerged as a promising solution to improve the quality of decisionmaking in drug development. However, tools required for processing and analyzing HCS data are rather immature. This paper discusses the bioinformatics issues related to HCS and presents a bioinformatics pipeline for HCS drug development. It reviews advanced methods for bioimage processing, cell segmentation, neurite centerline extraction, and cell tracking and registration in the context of HCS of different bioassays. These methods prove that HCS is potentially a powerful tool in quantitative cell biology and drug discovery.

Original language	English (US)
Pages (from-to)	170-174
Number of pages	5
Journal	IEEE Signal Processing Magazine
Volume	23
Issue number	2
DOIs	https://doi.org/10.1109/MSP.2006.1598095
State	Published - Mar 2006

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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abstract = "High content screening (HCS) has emerged as a promising solution to improve the quality of decisionmaking in drug development. However, tools required for processing and analyzing HCS data are rather immature. This paper discusses the bioinformatics issues related to HCS and presents a bioinformatics pipeline for HCS drug development. It reviews advanced methods for bioimage processing, cell segmentation, neurite centerline extraction, and cell tracking and registration in the context of HCS of different bioassays. These methods prove that HCS is potentially a powerful tool in quantitative cell biology and drug discovery.",

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