Evaluation of protein crystallization state by sequential image classification
Abstract
Purpose
The purpose of this paper is to present classification schemes for the crystallization state of proteins utilizing image processing.
Design/methodology/approach
Two classification schemes shown here are combined sequentially.
Findings
The correct ratio of experimental result using the method presented here is approximately 70 per cent.
Originality/value
The paper is a contribution to automated evaluation crystal growth, combining two classifiers based on specific visual feature, sequentially.
Keywords
Citation
Kawabata, K., Saitoh, K., Takahashi, M., Asama, H., Mishima, T., Sugahara, M. and Miyano, M. (2008), "Evaluation of protein crystallization state by sequential image classification", Sensor Review, Vol. 28 No. 3, pp. 242-247. https://doi.org/10.1108/02602280810882607
Publisher
:Emerald Group Publishing Limited
Copyright © 2008, Emerald Group Publishing Limited