Informatics challenges of high-throughput microscopy

Xiaobo Zhou, Stephen T. Wong

Research output: Contribution to journalArticle

81 Scopus citations

Abstract

High-throughput screening (HTS) using automated fluorescence microscopy technology, also known as high-content screening (HCS) is becoming an important tool to assist scientists in understanding the complex processes of cell division or mitosis, disease diagnosis and prognosis, drug target validation, and compound lead selection. Automated, high-throughput microscopy can be considered as consisting of six modules: biological experiments and image acquisition; image processing and analysis; quantitative feature extraction and database storage; validation; data modeling and statistical analysis; and visualization. For demonstration purposes, four examples of biological experiments of HTS are presented: cell cycle analysis for time-lapse microscopy screens; genome-wide RNAi screening in drosophila cells; monastrol suppressor drugs; and dynamic subcellular particle detection and tracking.

Original languageEnglish (US)
Pages (from-to)63-72
Number of pages10
JournalIEEE Signal Processing Magazine
Volume23
Issue number3
DOIs
StatePublished - 2006

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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