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.
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Applied Mathematics