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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mabaso, M. Twala, B. Withey, D. |
| Copyright Year | 2013 |
| Description | Author affiliation: Council for Sci. & Ind. Res., Pretoria, South Africa (Mabaso, M.; Withey, D.) || Dept. of Electr. Eng., Univ. of Johannesburg, Johannesburg, South Africa (Twala, B.) |
| Abstract | Tracking of multiple bright particles (spots) in fluorescence microscopy image sequences is seen as a crucial step in understanding complex information in the cell. However, fluorescence microscopy generates high a volume of noisy image data that cannot be analysed efficiently by means of manual analysis. In this study we compare the performance of two computer-based tracking methods for tracking of bright particles in fluorescence microscopy image sequences. The methods under comparison are, Interacting Multiple Model filter and Feature Point Tracking. The performance of the methods is validated using synthetic but realistic image sequences and real images. The results from experiments show that the Interacting Multiple Model filter performed best, under the test conditions. |
| Starting Page | 604 |
| Ending Page | 608 |
| File Size | 843440 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479931941 |
| DOI | 10.1109/BRICS-CCI-CBIC.2013.106 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-08 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tracking Spot Tracking Microscopy Feature Point Tracking Interacting Multiple Model Filter Biology Image sequences Noise measurement Fluorescence Microscopy Particle tracking Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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