MalariaCount: An image analysis-based program for the accurate determination of parasitemia

被引:77
作者
Sio, Selena W. S.
Sun, Weiling
Kumar, Saravana
Bin, Wong Zeng
Tan, Soon Shan
Ong, Sim Heng
Kikuchi, Haruhisa
Oshima, Yoshiteru
Tan, Kevin S. W.
机构
[1] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Microbiol, Lab Mol & Cellular Parasitol, Singapore 117597, Singapore
[2] Natl Univ Singapore, Fac Engn, Dept Elect & Comp Engn, Vision & Image Proc Lab, Singapore 117597, Singapore
[3] Tohoku Univ, Grad Sch Pharmaceut Sci, Sendai, Miyagi 9808578, Japan
[4] Natl Univ Singapore, Natl Malaria Reference Ctr, Singapore 117597, Singapore
关键词
Plasmodium; malaria; parasiterma; imaging; tool; program;
D O I
10.1016/j.mimet.2006.05.017
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Malaria is a serious global health problem and rapid, precise determination of parasitemia is necessary for malaria research and in clinical settings. Manual counting by light microscopy is the most widely used technique for parasitemia determination but it is a time-consuming and laborious process. The aim of our study was to develop an automated image analysis-based system for the rapid and accurate determination of parasitemia. We have developed, for the first time, a software, MalariaCount, that automatically generates parasitemias from images of Giemsa-stained blood smears. The potential application and robustness of MalariaCount was tested in normal and drug-treated in vitro cultures of Plasmodium falciparum. The results showed a tight correlation between MalariaCount and manual count parasitemia values. These findings suggest that MalariaCount can potentially be used as a tool to provide rapid and accurate determination of parasitemia in research laboratories where frequent, large-scale, efficient determination of parasitemia is required. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:11 / 18
页数:8
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