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Evaluation of protein crystallization state by sequential image classification

Kuniaki Kawabata (Kawabata Intelligent System Research Unit, RIKEN (The Institute of Physical and Chemical Research), Wako, Japan)
Kanako Saitoh (Kawabata Intelligent System Research Unit, RIKEN (The Institute of Physical and Chemical Research), Wako, Japan Saitama University, Saitama, Japan)
Mutsunori Takahashi (Saitama University, Saitama, Japan)
Hajime Asama (The University of Tokyo, Kashiwanoha, Japan)
Taketoshi Mishima (Saitama University, Saitama, Japan)
Mitsuaki Sugahara (SPring‐8 Center, Harima Institute, RIKEN (The Institute of Physical and Chemical Research), Sayo, Japan)
Masashi Miyano (SPring‐8 Center, Harima Institute, RIKEN (The Institute of Physical and Chemical Research), Sayo, Japan)

Sensor Review

ISSN: 0260-2288

Article publication date: 27 June 2008

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

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited