Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters

Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters

This paper describes an automated visual tracking system combining time-lapse and end-point confocal microscopy to aid the interpretations of cell behaviors and interactions, with the focus on understanding the sprouting mechanism during angiogenesis. These multiple cells exhibit stochastic motion a...

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Bibliographic Details
Main Authors: Ong, Lee Ling, Ang, Marcelo H., Asada, Harry
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2013
Online Access:http://hdl.handle.net/1721.1/77090
https://orcid.org/0000-0003-3155-6223

Internet

http://hdl.handle.net/1721.1/77090
https://orcid.org/0000-0003-3155-6223

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