Improving quantitation of malaria parasite burden with digital image analysis
被引:13
作者:
Frean, John
论文数: 0引用数: 0
h-index: 0
机构:
Natl Inst Communicable Dis, Parasitol Reference Unit, Johannesburg, South Africa
Univ Witwatersrand, Johannesburg, South AfricaNatl Inst Communicable Dis, Parasitol Reference Unit, Johannesburg, South Africa
Frean, John
[1
,2
]
机构:
[1] Natl Inst Communicable Dis, Parasitol Reference Unit, Johannesburg, South Africa
[2] Univ Witwatersrand, Johannesburg, South Africa
Malaria;
Parasites;
Parasite burden;
Quantitation;
Technology;
Digital image analysis;
D O I:
10.1016/j.trstmh.2008.04.017
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Quantitation of malaria parasite burden has prognostic value as well. as providing objective evidence of response to treatment or, potentially, to vaccination against malaria. Estimation of parasite load by microscopy is prone to inaccuracy and inconsistency. Digital image analysis is well, suited to this application rather than to the more difficult task of malaria diagnosis and species identification. Preliminary work has shown the feasibility of using off-the-shelf hardware and software. Standardised banks of slides for comparing human and machine counts, cheaper imaging methods for laboratories with limited resources, and customisation of readily available image analysis software are proposed as priority needs. (C) 2008 Royal. Society of Tropical. Medicine and Hygiene. Published by Elsevier Ltd. All rights reserved.