Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/10595
Title: Investigation of a novel approach to scoring Giemsa-stained malaria-infected thin blood films.
Authors: Proudfoot, Owen;Drew, Nathan;Scholzen, Anja;Xiang, Sue;Plebanski, Magdalena
Affiliation: Burnet Institute, Austin Hospital campus, Studley Road, Heidelberg, Melbourne, 3084, Australia. o.proudfoot@burnet.edu.au
Issue Date: 21-Apr-2008
Citation: Malaria Journal 2008; 7(): 62
Abstract: Daily assessment of the percentage of erythrocytes that are infected ('percent-parasitaemia') across a time-course is a necessary step in many experimental studies of malaria, but represents a time-consuming and unpopular task among researchers. The most common method is extensive microscopic examination of Giemsa-stained thin blood-films. This study explored a method for the assessment of percent-parasitaemia that does not require extended periods of microscopy and results in a descriptive and permanent record of parasitaemia data that is highly amenable to subsequent 'data-mining'. Digital photography was utilized in conjunction with a basic purpose-written computer programme to test the viability of the concept. Partial automation of the determination of percent parasitaemia was then explored, resulting in the successful customization of commercially available broad-spectrum image analysis software towards this aim. Lastly, automated discrimination between infected and uninfected RBCs based on analysis of digital parameters of individual cell images was explored in an effort to completely automate the calculation of an accurate percent-parasitaemia.
Internal ID Number: 18426594
URI: http://ahro.austin.org.au/austinjspui/handle/1/10595
DOI: 10.1186/1475-2875-7-62
URL: http://www.ncbi.nlm.nih.gov/pubmed/18426594
Type: Journal Article
Subjects: Animals
Automation
Blood.parasitology
Humans
Image Processing, Computer-Assisted.methods
Malaria.diagnosis
Parasitemia.diagnosis
Parasitology.methods
Appears in Collections:Journal articles

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