High content cellular imaging for drug development

Author

Zhou, Xiaobo ; Wong, Stephen T C

Author_Institution

Harvard Med. Sch., Boston, MA

Volume

23

Issue

2

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

170

Lastpage

174

Abstract

This paper discusses the bioinformatics issues related to high content screening (HCS) and presents a bioinformatics pipeline for HCS drug development. The paper reviews the 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. There remain, however, many challenging issues that require the development of new bioimage analysis algorithms to fulfil the potential of HCS

Keywords

biology computing; cellular biophysics; drugs; image registration; image segmentation; pharmaceutical industry; bioimage processing; bioinformatics pipeline; cell registration; cell segmentation; cell tracking; drug development; high content cellular imaging; neurite centerline extraction; quantitative cell biology; Data mining; Drugs; Focusing; Image edge detection; Image processing; Image segmentation; Lighting; Optical filters; Optical noise; Statistical analysis;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/MSP.2006.1598095

Filename

1598095