Center for High-Throughput Structural Biology
We have expanded and improved our approach to automated crystallography image classification [1-3]. We have moved from a Matlab code that implemented 840 image features and linear discriminant analysis for image classification into two classes, into a C++ code that computes 12,375 basic features, and Bayesian classifier system that recognizes 10 image classes.