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Authors: Kuan Yan 1 ; Fons Verbeek 1 ; Sylvia Le Dévédec 2 and Bob van de Water 2

Affiliations: 1 Section Imaging and Bioinformatics, Leiden Institute of Advanced Computer Science, Leiden University, Netherlands ; 2 Section Toxicology, Leiden/Amsterdam Center for Drug Research, Leiden University, Netherlands

ISBN: 978-989-8111-69-2

Keyword(s): Object tracking, Cell tracking, Cellular phenotype, Tumour cell, Time-lapse video, Cell migration analysis, KDE mean shift, Steepest descent, High-throughput, High-content, Video analysis, Image sequence.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Video Analysis

Abstract: In this paper, we address the problem of the analysis of cellular phenotype from time-lapse image sequences using object tracking algorithms and feature extraction and classification. We discusses the application of an object tracking algorithm for in the analysis of high content cell-migration time-lapse image sequence of extremely motile cells; these cells are captured at low time-resolution.. The small size of the objects and significant deformation of the object during the process renders the tracking as a non-trivial problem. To that end, the ‘KDE Mean Shift’, a real-time tracking solution, is adapted for our research. We illustrate that in a simulation experiment with artificial objects, with our algorithm an accuracy of over 90% can be established. Based on the tracking result, we propose several morphology and motility based measurements for the analysis of cell behaviour. Our analysis requires only initial manual interference; the majority of the processing is automated.

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Paper citation in several formats:
Yan K.; Verbeek F.; Le Dévédec S.; van de Water B. and (2009). CELL TRACKING AND DATA ANALYSIS OF IN VITRO TUMOUR CELLS FROM TIME-LAPSE IMAGE SEQUENCES .In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 281-286. DOI: 10.5220/0001804302810286

@conference{visapp09,
author={Kuan Yan and Fons Verbeek and Sylvia {Le Dévédec} and Bob {van de Water}},
title={CELL TRACKING AND DATA ANALYSIS OF IN VITRO TUMOUR CELLS FROM TIME-LAPSE IMAGE SEQUENCES },
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={281-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001804302810286},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - CELL TRACKING AND DATA ANALYSIS OF IN VITRO TUMOUR CELLS FROM TIME-LAPSE IMAGE SEQUENCES
SN - 978-989-8111-69-2
AU - Yan, K.
AU - Verbeek, F.
AU - Le Dévédec, S.
AU - van de Water, B.
PY - 2009
SP - 281
EP - 286
DO - 10.5220/0001804302810286

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