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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bonneau, S. Dahan, M. Cohen, L.D. |
| Copyright Year | 1992 |
| Abstract | Semiconductor quantum dots (QDs) are new fluorescent probes with great promise for ultrasensitive biological imaging. When detected at the single-molecule level, QD-tagged molecules can be observed and tracked in the membrane of live cells over unprecedented durations. The motion of these individual molecules, recorded in sequences of fluorescence images, can reveal aspects of the dynamics of cellular processes that remain hidden in conventional ensemble imaging. Due to QD complex optical properties, such as fluorescence intermittency, the quantitative analysis of these sequences is, however, challenging and requires advanced algorithms. We present here a novel approach, which, instead of a frame by frame analysis, is based on perceptual grouping in a spatiotemporal volume. By applying a detection process based on an image fluorescence model, we first obtain an unstructured set of points. Individual molecular trajectories are then considered as minimal paths in a Riemannian metric derived from the fluorescence image stack. These paths are computed with a variant of the fast marching method and few parameters are required. We demonstrate the ability of our algorithm to track intermittent objects both in sequences of synthetic data and in experimental measurements obtained with individual QD-tagged receptors in the membrane of live neurons. While developed for tracking QDs, this method can, however, be used with any fluorescent probes. |
| Sponsorship | IEEE Signal Processing Society |
| Page Count | 12 |
| File Size | 1226360 |
| Starting Page | 1384 |
| Ending Page | 1395 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 14 |
| Issue Number | 9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quantum dots Spatiotemporal phenomena Fluorescence Probes Optical imaging Biomembranes Biomedical optical imaging Optical recording Image sequence analysis Algorithm design and analysis single-molecule tracking (SMT) Active contours cellular imaging energy minimization group marching minimal paths perceptual grouping quantum dot |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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