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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mele, K. Coster, A. Burchfield, J.G. Lopez, J. James, D.E. Hughes, W.E. Vallotton, P. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Mathematics & Statistics, University of New South Wales Sydney 2052, Australia (Coster, A.) || The Garvan Institute of Medical Research, 384 Victoria St, NSW 2010, Australia (Burchfield, J.G.; Lopez, J.; James, D.E.; Hughes, W.E.) || Biotech Imaging, CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde, NSW 1670, Australia (Mele, K.; Vallotton, P.) |
| Abstract | This paper presents a novel computer vision system for automated identification of vesicle-plasma membrane fusion events in image sequences obtained from Total Internal Reflection Fluorescence (TIRF) microscopes. Identification of such events is important in order to better understand the process of exocytosis in cells. Manual analysis of thousands of images is painstakingly slow and subjective since the events are hard to recognize, even for experts. The proposed identification method assembles an image sequence in a 3D stack and extracts connected regions representing candidate events. Each candidate is then described by a set of novel domain specific descriptors. Similarity scores between genuine fusion events and fusion candidates are calculated in the PCA (Principal component analysis) eigenspace. The system's performance was evaluated on large TIRF movies as well as on simulated data. The results illustrate the ability of the proposed algorithm to find the majority of fusion events while maintaining a low false positive rate. To our knowledge this paper is the first to report a detailed analysis of fully automatic annotation of large TIRF image sequences. |
| Starting Page | 578 |
| Ending Page | 584 |
| File Size | 465708 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424444427 |
| DOI | 10.1109/ICCVW.2009.5457651 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Image analysis Image recognition Microscopy Fluorescence Biomembranes Reflection Image sequences Assembly Principal component analysis |
| Content Type | Text |
| Resource Type | Article |
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