Please use this identifier to cite or link to this item:
|Title:||MalariaCount: An image analysis-based program for the accurate determination of parasitemia|
|Source:||Sio, S.W.S., Sun, W., Tan, S.S., Tan, K.S.W., Kumar, S., Bin, W.Z., Ong, S.H., Kikuchi, H., Oshima, Y. (2007). MalariaCount: An image analysis-based program for the accurate determination of parasitemia. Journal of Microbiological Methods 68 (1) : 11-18. ScholarBank@NUS Repository. https://doi.org/10.1016/j.mimet.2006.05.017|
|Abstract:||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. © 2006 Elsevier B.V. All rights reserved.|
|Source Title:||Journal of Microbiological Methods|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 21, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.