Home

Classification of Micro Array Protein Crystal Images With Laplacian Pyramidal Filters and Neural Networks

Elsa D. Angelini; Ya Wang; Andrew F. Laine

Title:
Classification of Micro Array Protein Crystal Images With Laplacian Pyramidal Filters and Neural Networks
Author(s):
Angelini, Elsa D.
Wang, Ya
Laine, Andrew F.
Date:
Type:
Presentations
Department:
Biomedical Engineering
Permanent URL:
Notes:
Presented at the Workshop on Genomic Signal Processing and Statistics, Baltimore, Md., May 26-28, 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 presented performs classification of microscopic images as protein precipitates or crystals versus clear solutions. Preliminary experiments are presented, which provided high classification accuracy on large datasets of protein crystallization experiments using expert classification for ground truth.
Subject(s):
Biomedical engineering
Item views:
334
Metadata:
text | xml

In Partnership with the Center for Digital Research and Scholarship at Columbia University Libraries/Information Services | Terms of Use