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...
| Main Authors: | , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2013-02-14T20:41:25Z.
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| Subjects: | |
| Online Access: | Get fulltext |