Tracking of migrating glioma cells in feature space

Wenjia Bai; Xiaobo Zhou; Jinmin Zhu; Liang Ji; Stephen T. Wong

doi:10.1109/ISBI.2007.356841

Tracking of migrating glioma cells in feature space

Wenjia Bai, Xiaobo Zhou, Jinmin Zhu, Liang Ji, Stephen T. Wong

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

6 Scopus citations

Abstract

A new approach for tracking cell migration by performing tracking task in a blob feature space instead of the original image is proposed. The feature space is obtained through multi-scale blob detection, where we bright modes correspond to cells in the original image. Mode seeking is realized using a mean shift algorithm. Besides cell tracking, the method considers cell disappearing, appearing from the view, cell splitting and merging as well, the events that frequently happen in an image sequence. Results obtained from a real dataset indicate that me method performs well and with an acceptable speed. The method provides a useful tool for tracking cell migration automatically.

Original language	English (US)
Title of host publication	2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro - Proceedings
Pages	272-275
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2007.356841
State	Published - Nov 27 2007
Event	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States Duration: Apr 12 2007 → Apr 15 2007

Other

Other	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/Territory	United States
City	Arlington, VA
Period	4/12/07 → 4/15/07

Keywords

Cell tracking
Glioma cell migration
Mean shift
Multiscale feature space

ASJC Scopus subject areas

Electrical and Electronic Engineering
Medicine(all)

Access to Document

10.1109/ISBI.2007.356841

Cite this

Bai, W, Zhou, X, Zhu, J, Ji, L & Wong, ST 2007, Tracking of migrating glioma cells in feature space. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193275, pp. 272-275, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 4/12/07. https://doi.org/10.1109/ISBI.2007.356841

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title = "Tracking of migrating glioma cells in feature space",

abstract = "A new approach for tracking cell migration by performing tracking task in a blob feature space instead of the original image is proposed. The feature space is obtained through multi-scale blob detection, where we bright modes correspond to cells in the original image. Mode seeking is realized using a mean shift algorithm. Besides cell tracking, the method considers cell disappearing, appearing from the view, cell splitting and merging as well, the events that frequently happen in an image sequence. Results obtained from a real dataset indicate that me method performs well and with an acceptable speed. The method provides a useful tool for tracking cell migration automatically.",

keywords = "Cell tracking, Glioma cell migration, Mean shift, Multiscale feature space",

author = "Wenjia Bai and Xiaobo Zhou and Jinmin Zhu and Liang Ji and Wong, {Stephen T.}",

year = "2007",

month = nov,

day = "27",

doi = "10.1109/ISBI.2007.356841",

language = "English (US)",

isbn = "1424406722",

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booktitle = "2007 4th IEEE International Symposium on Biomedical Imaging",

note = "2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 ; Conference date: 12-04-2007 Through 15-04-2007",

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T1 - Tracking of migrating glioma cells in feature space

AU - Bai, Wenjia

AU - Zhou, Xiaobo

AU - Zhu, Jinmin

AU - Ji, Liang

AU - Wong, Stephen T.

PY - 2007/11/27

Y1 - 2007/11/27

N2 - A new approach for tracking cell migration by performing tracking task in a blob feature space instead of the original image is proposed. The feature space is obtained through multi-scale blob detection, where we bright modes correspond to cells in the original image. Mode seeking is realized using a mean shift algorithm. Besides cell tracking, the method considers cell disappearing, appearing from the view, cell splitting and merging as well, the events that frequently happen in an image sequence. Results obtained from a real dataset indicate that me method performs well and with an acceptable speed. The method provides a useful tool for tracking cell migration automatically.

AB - A new approach for tracking cell migration by performing tracking task in a blob feature space instead of the original image is proposed. The feature space is obtained through multi-scale blob detection, where we bright modes correspond to cells in the original image. Mode seeking is realized using a mean shift algorithm. Besides cell tracking, the method considers cell disappearing, appearing from the view, cell splitting and merging as well, the events that frequently happen in an image sequence. Results obtained from a real dataset indicate that me method performs well and with an acceptable speed. The method provides a useful tool for tracking cell migration automatically.

KW - Cell tracking

KW - Glioma cell migration

KW - Mean shift

KW - Multiscale feature space

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M3 - Conference contribution

AN - SCOPUS:36348963017

SN - 1424406722

SN - 9781424406722

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BT - 2007 4th IEEE International Symposium on Biomedical Imaging

T2 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07

Y2 - 12 April 2007 through 15 April 2007

ER -

Tracking of migrating glioma cells in feature space

Abstract

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Keywords

ASJC Scopus subject areas

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