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

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

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.


More About This Work

Academic Units
Biomedical Engineering
Published Here
August 20, 2010


Presented at the 3rd International Conference on Structural Genomics, ICSG 2004, Washington, D.C., 17-21 November 2004.

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