Efficient annotation of vesicle dynamics video microscopy
We describe an algorithm for the efficient annotation of events of interest in video microscopy. The specific application involves the detection and tracking of multiple p ossibly overlapping vesicles in total internal reflection fluorescent microscopy images. A st atistical model for the dynamic im...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 11 vom: 01. Nov., Seite 1998-2010 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2008
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. |
| Zusammenfassung: | We describe an algorithm for the efficient annotation of events of interest in video microscopy. The specific application involves the detection and tracking of multiple p ossibly overlapping vesicles in total internal reflection fluorescent microscopy images. A st atistical model for the dynamic image data of vesicle configurations allows us to properly weight various hypotheses online. The goal is to find the most likely trajectories given a sequence of images. The computational challenge is addressed by defining a sequence of coarse-to-fine tests, derived from the statistical model, to quickly eliminate most candidate positions at each time frame. The computational load of the tests is initially very low and gradually in creases as the false positives become more difficult to eliminate. Only at the last step, state variables are estimated from a complete time- dependent model. Processing time thus mainly depends on the number of vesicles in the image and not on image size |
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| Beschreibung: | Date Completed 28.10.2009 Date Revised 12.09.2008 published: Print Citation Status MEDLINE |
| ISSN: | 1939-3539 |
| DOI: | 10.1109/TPAMI.2008.84 |