Abstract
To better understand drug effects on cancer cells, it is important to analyze cell nuclei dynamics from time-lapse fluorescence microscopy data. Existing methods, however, are rather limited in dealing with such time-lapse datasets while manual analysis is unreasonably time-consuming. We have therefore developed an automated system that can segment and track thousands of nuclei concurrently in time-lapse fluorescence microscopy data. Numerical nuclei features can be extracted based on our segmentation and tracking results. These features can be used for quantitative analysis of nuclei for high throughput drug screens.
Original language | English (US) |
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Article number | 1465564 |
Pages (from-to) | 4229-4232 |
Number of pages | 4 |
Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
DOIs | |
State | Published - 2005 |
Event | IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: May 23 2005 → May 26 2005 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering