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A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy


Tarnawski, Wojciech; Kurtcuoglu, Vartan; Lorek, Pawel; Bodych, Marcin; Rotter, Jan; Muszkieta, Monika; Piwowar, Lukasz; Poulikakos, Dimos; Majkowski, Michal; Ferrari, Aldo (2013). A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy. IEEE Journal of Biomedical and Health Informatics, 17(4):862-869.

Abstract

We present herein a robust algorithm for cell tracking in a sequence of time-lapse 2-D fluorescent microscopy images. Tracking is performed automatically via a multiphase active contours algorithm adapted to the segmentation of clustered nuclei with obscure boundaries. An ellipse fitting method is applied to avoid problems typically associated with clustered, overlapping, or dying cells, and to obtain more accurate segmentation and tracking results. We provide quantitative validation of results obtained with this new algorithm by comparing them to the results obtained from the established CellProfiler, MTrack2 (plugin for Fiji), and LSetCellTracker software.

Abstract

We present herein a robust algorithm for cell tracking in a sequence of time-lapse 2-D fluorescent microscopy images. Tracking is performed automatically via a multiphase active contours algorithm adapted to the segmentation of clustered nuclei with obscure boundaries. An ellipse fitting method is applied to avoid problems typically associated with clustered, overlapping, or dying cells, and to obtain more accurate segmentation and tracking results. We provide quantitative validation of results obtained with this new algorithm by comparing them to the results obtained from the established CellProfiler, MTrack2 (plugin for Fiji), and LSetCellTracker software.

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5 citations in Web of Science®
6 citations in Scopus®
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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Physiology
07 Faculty of Science > Institute of Physiology
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2013
Deposited On:03 Feb 2014 13:28
Last Modified:21 Nov 2017 17:06
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2168-2194
Publisher DOI:https://doi.org/10.1109/JBHI.2013.2262233

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