Automated dynamic cellular analysis in high throughput drug screens

Xiaowei Chen, Stephen T.C. Wong

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

To better understand drug effects on cancer cells, it is important to analyze cell nuclei dynamics from time-lapse fluorescence microscopy data. Existing methods, however, are rather limited in dealing with such time-lapse datasets while manual analysis is unreasonably time-consuming. We have therefore developed an automated system that can segment and track thousands of nuclei concurrently in time-lapse fluorescence microscopy data. Numerical nuclei features can be extracted based on our segmentation and tracking results. These features can be used for quantitative analysis of nuclei for high throughput drug screens.

Original languageEnglish (US)
Article number1465564
Pages (from-to)4229-4232
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
StatePublished - 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: May 23 2005May 26 2005

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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