Paper
17 May 1999 Analysis of moving biological objects in video microscopy sequences
Frederic Briquet-Laugier, Christian Boulin, Jean-Christophe Olivo-Marin
Author Affiliations +
Proceedings Volume 3642, High-Speed Imaging and Sequence Analysis; (1999) https://doi.org/10.1117/12.348414
Event: Electronic Imaging '99, 1999, San Jose, CA, United States
Abstract
We present a number of methods to detect and track multiple moving biological objects in image sequences acquired by different imaging techniques coupled to video microscopy. Movement and motility analysis is an important topic in biology and it is of major importance to be able to analyze the image sequences in order to get reliable and reproducible quantitative data such as number, position, movement phases and speed of the biological objects, as this information helps to characterize the biological assays. The detection is automatic and, in the case of phase contrast microscopy, is based upon the correlation of the image with a filter which varies adaptively to represent an object as it moves and deforms; in fluorescent imaging, the automatic detection is based on thresholding and mathematical morphology to determine and select the objects. The tracking is performed using a Kalman filter and a cost function which enable the position of the moving objects to be predicted, refined and updated. Once all moving objects have been assigned with unique spatio-temporal paths, trajectories are analyzed in terms of different parameters relevant for the motion analysis of biological objects.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederic Briquet-Laugier, Christian Boulin, and Jean-Christophe Olivo-Marin "Analysis of moving biological objects in video microscopy sequences", Proc. SPIE 3642, High-Speed Imaging and Sequence Analysis, (17 May 1999); https://doi.org/10.1117/12.348414
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Filtering (signal processing)

Biological research

Image filtering

Video microscopy

Motion analysis

Electronic filtering

Microscopy

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