High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations
- High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations
- Wang, Ya
Angelini, Elsa D.
Kim, David H.
Laine, Andrew F.
- Presentations (Communicative Events)
- Biomedical Engineering
- Persistent URL:
- Presented at the 3rd International Conference on Structural Genomics, ICSG 2004, Washington, D.C., 17-21 November 2004.
- 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.
- Biomedical engineering
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- Suggested Citation:
- Ya Wang, Elsa D. Angelini, David H. Kim, Andrew F. Laine, 2004, High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations, Columbia University Academic Commons, https://doi.org/10.7916/D8F47VW3.