| Author(s): |
Joe Chalfoun; Antonio Cardone; Alden A. Dima; Michael W. Halter; Daniel P. Allen; |
| Title: |
Overlap-Based Cell Tracker |
| Published: |
February 02, 2010 |
| Abstract: |
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by NIST. This cell tracker has the ability to track cells across a set of time lapse images acquired at high rates based on the amount of overlap between cellular regions in consecutive frames. It is designed to be highly flexible, requires little user parameterization, and has a fast execution time. |
| Citation: |
NIST Interagency/Internal Report (NISTIR) - 7663 |
| Pages: |
13 pp. |
| Keywords: |
overlap-based cell tracking, time-lapse cell imaging, cell motility, live-cell imaging |
| Research Areas: |
Information Processing Systems, Imaging |
| PDF version: |
 Click here to retrieve PDF version of paper (611KB) |
