Image-based classification for automating protein crystal identification

被引:0
作者
Yang, Xi [1 ]
Chen, Weidong
Zheng, Yuan F.
Jiang, Tao
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Ohio State Univ, Columbus, OH 43210 USA
[3] Chinese Acad Sci, Inst Biophys, Natl Lab Biomacromol, Beijing 100101, Peoples R China
来源
INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION | 2006年 / 345卷
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A technology for automatic evaluation of images from protein crystallization trials is presented in this paper. In order to minimize the interference posed by the environmental factors, the droplet is segmented from the entire image first. The algorithm selects different features, which are derived from the pixels within the droplet, and obtains a 16-dimensional feature vector which will then be fed to the classifier to make a classification. Each image is classified into one of the following classes: "Clear", "Precipitate" and "Crystal". We have achieved an accuracy rate of 84.8% with our algorithm.
引用
收藏
页码:932 / 937
页数:6
相关论文
共 10 条
[1]   Automation of X-ray crystallography [J].
Abola, E ;
Kuhn, P ;
Earnest, T ;
Stevens, RC .
NATURE STRUCTURAL BIOLOGY, 2000, 7 (Suppl 11) :973-977
[2]   Automatic classification of protein crystallization images using a curve-tracking algorithm [J].
Bern, M ;
Goldberg, D ;
Stevens, RC ;
Kuhn, P .
JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2004, 37 :279-287
[4]   Automatic classification of sub-microlitre protein-crystallization trials in 1536-well plates [J].
Cumbaa, CA ;
Lauricella, A ;
Fehrman, N ;
Veatch, C ;
Collins, R ;
Luft, J ;
DeTitta, G ;
Jurisica, I .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 2003, 59 :1619-1627
[5]   TEXTURAL FEATURES FOR IMAGE CLASSIFICATION [J].
HARALICK, RM ;
SHANMUGAM, K ;
DINSTEIN, I .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06) :610-621
[6]   Intelligent decision support for protein crystal growth [J].
Jurisica, I ;
Rogers, P ;
Glasgow, JI ;
Fortier, S ;
Luft, JR ;
Wolfley, JR ;
Bianca, MA ;
Weeks, DR ;
DeTitta, GT .
IBM SYSTEMS JOURNAL, 2001, 40 (02) :394-409
[7]  
KAAS M, 1988, INT J COMPUT VISION, V1, P321
[8]   THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].
OTSU, N .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66
[9]   Computational analysis of crystallization trials [J].
Spraggon, G ;
Lesley, SA ;
Kreusch, A ;
Priestle, JP .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 2002, 58 :1915-1923
[10]   Towards the automated evaluation of crystallization trials [J].
Wilson, J .
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY, 2002, 58 :1907-1914