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High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations

Ya Wang; Elsa D. Angelini; David H. Kim; Andrew F. Laine

Title:
High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations
Author(s):
Wang, Ya
Angelini, Elsa D.
Kim, David H.
Laine, Andrew F.
Date:
Type:
Presentations (Communicative Events)
Department(s):
Biomedical Engineering
Persistent URL:
Notes:
Presented at the 3rd International Conference on Structural Genomics, ICSG 2004, Washington, D.C., 17-21 November 2004.
Abstract:
This project is part of the Northeast Structural Genomics Consortium (NESG). The goal of this consortium is to develop efficient and integrated technologies for high-throughput (HTP) protein production and 3D structure determination. This project focuses on the design of an image analysis system to classify protein crystal structures in a production oriented environment. The method performs classification of microscopic images as clear droplets versus non-clear droplets (precipitates and crystals). Using expert classification for ground truth, current results show high classification accuracy with a large image datasets.
Subject(s):
Biomedical engineering
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Suggested Citation:
Ya Wang, Elsa D. Angelini, David H. Kim, Andrew F. Laine, , High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations, Columbia University Academic Commons, .

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