Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model

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.

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

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

Organization unit

Faculty of Informatics

ISBN

978-1-4577-1857-1

ISSN

UT WoS

000312384100337

Keywords in English

Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework

Tags

cbia-web

Tags

International impact, Reviewed

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Abstract

V originále

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.