Automated dynamic cellular analysis in high throughput drug screens

Xiaowei Chen; Stephen T.C. Wong

doi:10.1109/ISCAS.2005.1465564

Automated dynamic cellular analysis in high throughput drug screens

Xiaowei Chen, Stephen T.C. Wong

Research output: Contribution to journal › Conference article › peer-review

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 language	English (US)
Article number	1465564
Pages (from-to)	4229-4232
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1465564
State	Published - 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: May 23 2005 → May 26 2005

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2005.1465564

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title = "Automated dynamic cellular analysis in high throughput drug screens",

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.",

author = "Xiaowei Chen and Wong, {Stephen T.C.}",

year = "2005",

doi = "10.1109/ISCAS.2005.1465564",

language = "English (US)",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

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TY - JOUR

T1 - Automated dynamic cellular analysis in high throughput drug screens

AU - Chen, Xiaowei

AU - Wong, Stephen T.C.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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DO - 10.1109/ISCAS.2005.1465564

M3 - Conference article

AN - SCOPUS:33750933391

SN - 0271-4310

SP - 4229

EP - 4232

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 1465564

T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

Automated dynamic cellular analysis in high throughput drug screens

Abstract

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