Paper
14 March 2011 Neural stem cell tracking with phase contrast video microscopy
Stéphane U. Rigaud, Nicolas Loménie
Author Affiliations +
Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796230 (2011) https://doi.org/10.1117/12.877651
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stéphane U. Rigaud and Nicolas Loménie "Neural stem cell tracking with phase contrast video microscopy", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796230 (14 March 2011); https://doi.org/10.1117/12.877651
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Stem cells

Phase contrast

Surveillance

Image segmentation

Microscopes

Motion detection

Image filtering

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