An iterative approach to nucleus segmentation for high content imaging in cancer research

Ashley B. Tarokh; Kuang Yu Liu; Xiaobo Zhou; Stephen T. Wong

doi:10.1109/LSSA.2006.250412

An iterative approach to nucleus segmentation for high content imaging in cancer research

Ashley B. Tarokh, Kuang Yu Liu, Xiaobo Zhou, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.

Original language	English (US)
Title of host publication	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs	https://doi.org/10.1109/LSSA.2006.250412
State	Published - Dec 1 2006
Event	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States Duration: Jul 13 2006 → Jul 14 2006

Other

Other	2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
Country/Territory	United States
City	Bethesda, MD
Period	7/13/06 → 7/14/06

ASJC Scopus subject areas

Health(social science)
Assessment and Diagnosis
Medicine(all)
Health Information Management
Electrical and Electronic Engineering
Human-Computer Interaction
Computer Science Applications
Signal Processing

Access to Document

10.1109/LSSA.2006.250412

Cite this

Tarokh, AB, Liu, KY, Zhou, X & Wong, ST 2006, An iterative approach to nucleus segmentation for high content imaging in cancer research. in 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006., 4015813, 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006, Bethesda, MD, United States, 7/13/06. https://doi.org/10.1109/LSSA.2006.250412

@inproceedings{55bb1da1af2b4cdfbb4806109b990791,

title = "An iterative approach to nucleus segmentation for high content imaging in cancer research",

abstract = "We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.",

author = "Tarokh, {Ashley B.} and Liu, {Kuang Yu} and Xiaobo Zhou and Wong, {Stephen T.}",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/LSSA.2006.250412",

language = "English (US)",

isbn = "1424402786",

booktitle = "2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006",

note = "2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 ; Conference date: 13-07-2006 Through 14-07-2006",

}

TY - GEN

T1 - An iterative approach to nucleus segmentation for high content imaging in cancer research

AU - Tarokh, Ashley B.

AU - Liu, Kuang Yu

AU - Zhou, Xiaobo

AU - Wong, Stephen T.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.

AB - We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.

UR - http://www.scopus.com/inward/record.url?scp=37649032059&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=37649032059&partnerID=8YFLogxK

U2 - 10.1109/LSSA.2006.250412

DO - 10.1109/LSSA.2006.250412

M3 - Conference contribution

AN - SCOPUS:37649032059

SN - 1424402786

SN - 9781424402786

BT - 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

T2 - 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006

Y2 - 13 July 2006 through 14 July 2006

ER -

An iterative approach to nucleus segmentation for high content imaging in cancer research

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this