MalariaCount: An image analysis-based program for the accurate determination of parasitemia
MalariaCount: An image analysis-based program for the accurate determination of parasitemia
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DOI：
10.1016/j.mimet.2006.05.017
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发表时间：
2007-01-01
影响因子：
2.2
通讯作者：
Tan, Kevin S. W.
中科院分区：
文献类型：
--
作者：
Sio, Selena W. S.;Sun, Weiling;Tan, Kevin S. W.
疟疾是一个严重的全球卫生问题，对疟疾研究和临床环境而言，快速、准确地确定寄生虫病是必要的。光学显微镜人工计数是寄生虫病检测中最广泛使用的技术，但这是一个费时费力的过程。本研究的目的是开发一种基于自动图像分析的系统，用于快速准确地测定寄生虫病。我们第一次开发了一个软件，疟疾账户，它可以从吉姆萨病毒染色的血液涂片图像中自动生成寄生虫。在正常和药物处理的恶性疟原虫体外培养物中测试了疟疾账户的潜在应用和稳健性。结果表明，疟疾统计与人工计数之间存在密切的相关性。这些发现表明，在需要频繁、大规模、高效地测定寄生虫病的研究实验室中，疟疾账户可以作为一种工具，提供快速、准确的寄生虫病测定。(c) 2006 Elsevier B.V.版权所有
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.