Segmentation, recognition and tracing analysis for high-content cell-cycle screening

Donggang Yu; Tuan D. Pham; Xiaobo Zhou; Stephen T. Wong

doi:10.1063/1.2816645

Segmentation, recognition and tracing analysis for high-content cell-cycle screening

Donggang Yu, Tuan D. Pham, Xiaobo Zhou, Stephen T. Wong

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

8 Scopus citations

Abstract

We present in this paper some new and efficient algorithms for segmentation, recognition and tracing analysis of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation, reconstruction and tracing analysis. The new segmentation method can resolve the question of over-segmentation. The tracing analysis of cell phases is based on cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results test the efficiency of the new method.

Original language	English (US)
Title of host publication	Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium
Pages	66-75
Number of pages	10
Volume	952
DOIs	https://doi.org/10.1063/1.2816645
State	Published - Dec 1 2007
Event	2007 International Symposium on Computational Models for Life Sciences, CMLS '07 - Gold Coast, QLD, Australia Duration: Dec 17 2007 → Dec 19 2007

Other

Other	2007 International Symposium on Computational Models for Life Sciences, CMLS '07
Country/Territory	Australia
City	Gold Coast, QLD
Period	12/17/07 → 12/19/07

Keywords

Analysis of cell phases
High-content screening
Image contours
Image reconstruction
Morphological structures
Shape recognition

ASJC Scopus subject areas

Physics and Astronomy(all)

Access to Document

10.1063/1.2816645

Cite this

Yu, D, Pham, TD, Zhou, X & Wong, ST 2007, Segmentation, recognition and tracing analysis for high-content cell-cycle screening. in Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium. vol. 952, pp. 66-75, 2007 International Symposium on Computational Models for Life Sciences, CMLS '07, Gold Coast, QLD, Australia, 12/17/07. https://doi.org/10.1063/1.2816645

@inproceedings{d7dfa5a3c82548c9acce8c119a2d8405,

title = "Segmentation, recognition and tracing analysis for high-content cell-cycle screening",

abstract = "We present in this paper some new and efficient algorithms for segmentation, recognition and tracing analysis of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation, reconstruction and tracing analysis. The new segmentation method can resolve the question of over-segmentation. The tracing analysis of cell phases is based on cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results test the efficiency of the new method.",

keywords = "Analysis of cell phases, High-content screening, Image contours, Image reconstruction, Morphological structures, Shape recognition",

author = "Donggang Yu and Pham, {Tuan D.} and Xiaobo Zhou and Wong, {Stephen T.}",

year = "2007",

month = dec,

day = "1",

doi = "10.1063/1.2816645",

language = "English (US)",

isbn = "9780735404663",

volume = "952",

pages = "66--75",

booktitle = "Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium",

note = "2007 International Symposium on Computational Models for Life Sciences, CMLS '07 ; Conference date: 17-12-2007 Through 19-12-2007",

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TY - GEN

T1 - Segmentation, recognition and tracing analysis for high-content cell-cycle screening

AU - Yu, Donggang

AU - Pham, Tuan D.

AU - Zhou, Xiaobo

AU - Wong, Stephen T.

PY - 2007/12/1

Y1 - 2007/12/1

N2 - We present in this paper some new and efficient algorithms for segmentation, recognition and tracing analysis of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation, reconstruction and tracing analysis. The new segmentation method can resolve the question of over-segmentation. The tracing analysis of cell phases is based on cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results test the efficiency of the new method.

AB - We present in this paper some new and efficient algorithms for segmentation, recognition and tracing analysis of cell phases for high-content screening. The conceptual frameworks are based on the morphological structures of cells where a series of morphological structural points are established. Furthermore, we address the issue of touching cells and then propose morphological techniques for cell separation, reconstruction and tracing analysis. The new segmentation method can resolve the question of over-segmentation. The tracing analysis of cell phases is based on cell shape, geometrical features and difference information of corresponding neighbor frames. Experiment results test the efficiency of the new method.

KW - Analysis of cell phases

KW - High-content screening

KW - Image contours

KW - Image reconstruction

KW - Morphological structures

KW - Shape recognition

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U2 - 10.1063/1.2816645

DO - 10.1063/1.2816645

M3 - Conference contribution

AN - SCOPUS:71449118410

SN - 9780735404663

VL - 952

SP - 66

EP - 75

BT - Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium

T2 - 2007 International Symposium on Computational Models for Life Sciences, CMLS '07

Y2 - 17 December 2007 through 19 December 2007

ER -

Segmentation, recognition and tracing analysis for high-content cell-cycle screening

Abstract

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Keywords

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