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Proceedings Paper

Neural stem cell tracking with phase contrast video microscopy
Author(s): Stéphane U. Rigaud; Nicolas Loménie
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Paper Abstract

Tracking and segmenting objects for video surveillance is a well known field of research and very efficient methods exist. Usually embedded in traffic surveillance camera, these processes are not necessary adapted for biological surveillance context. In stem cell study, the design of a framework to monitor cell development in real time improves the stem cell analysis and biological understanding. In this purpose, we propose to test the Σ - ▵ motion filter, normally developed for security and surveillance camera, in order to track neural stem cells and their evolution over time, based on phase contrast image sequences. The motion filter is based on the difference between the current frame and a reference image of the background and uses a recursive spatio-temporal morphological operator called hybrid reconstruction to compensate for ghost and trace usually occurring with those kinds of methods.

Paper Details

Date Published: 14 March 2011
PDF: 6 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796230 (14 March 2011); doi: 10.1117/12.877651
Show Author Affiliations
Stéphane U. Rigaud, IPAL, UMI, CNRS (Singapore)
Univ. of Pierre et Marie Curie (France)
Nicolas Loménie, IPAL, UMI, CNRS (Singapore)
Ctr. National de la Recherche Scientifique (France)
Univ. Paris Descartes (France)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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