MAŠKA, Martin, Arrate MUÑOZ-BARRUTIA and Carlos ORTIZ-DE-SOLÓRZANO. Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model. Online. In 9th IEEE International Symposium on Biomedical Imaging. Barcelona: IEEE, 2012, p. 1316–1319. ISBN 978-1-4577-1857-1.
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Basic information
Original name Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model
Authors MAŠKA, Martin, Arrate MUÑOZ-BARRUTIA and Carlos ORTIZ-DE-SOLÓRZANO.
Edition Barcelona, 9th IEEE International Symposium on Biomedical Imaging, p. 1316–1319, 4 pp. 2012.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Organization unit Faculty of Informatics
ISBN 978-1-4577-1857-1
ISSN 1945-7928
UT WoS 000312384100337
Keywords in English Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Martin Maška, Ph.D., učo 60734. Changed: 13/12/2015 02:07.
Abstract
We present a fast and robust approach to tracking whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the enhanced cell boundaries are detected by minimizing the Chan-Vese model in a fast level set-like framework. To allow simultaneous tracking of multiple cells over time, the contour evolution has been integrated with a topological prior exploiting the object indication function. Preliminary tracking experiments on 2D time-lapse series of GFP-transfected adipose-derived stem cells demonstrate high accuracy and short execution times.
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