| Paper: | WP-P2.12 |
| Session: | Biomedical Imaging V: Molecular & Cellular Bioimaging / Segmentation |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
TRACING CURVILINEAR STRUCTURES IN LIVE CELL IMAGES |
| Authors: |
Mehmet Emre Sargin; University of California, Santa Barbara | | |
| | Alphan Altinok; University of California, Santa Barbara | | |
| | Kenneth Rose; University of California, Santa Barbara | | |
| | B. S. Manjunath; University of California, Santa Barbara | | |
| Abstract: |
Tracing of curvilinear structures find excellent applications in the analysis of biological images for extracting information about structures such as blood vessels, neurons, microtubules, and similar entities. Due to the limitations in biological sample preparation and fluorescence imaging, typical images in live cell studies exhibit severe noise and considerable clutter. These images are manually analyzed through a laborious and approximate set of quantification tasks. In this paper, we describe a constrained optimization method for extracting curvilinear structures from live cell fluorescence images. The trace is constrained on the structure using local information while the direction of the structure and the source signal are jointly optimized. We show that the proposed method is largely insensitive to frequent intersections and clutter. We demonstrate the results of our approach on live cell microtubule images and describe an application in tracking individual microtubules to automatically quantify biologically significant events. |
