Abstract
We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.
Original language | English (US) |
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Title of host publication | 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 |
DOIs | |
State | Published - Dec 1 2006 |
Event | 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States Duration: Jul 13 2006 → Jul 14 2006 |
Other
Other | 2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 |
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Country/Territory | United States |
City | Bethesda, MD |
Period | 7/13/06 → 7/14/06 |
ASJC Scopus subject areas
- Health(social science)
- Assessment and Diagnosis
- Medicine(all)
- Health Information Management
- Electrical and Electronic Engineering
- Human-Computer Interaction
- Computer Science Applications
- Signal Processing