Title |
Performance of a malaria microscopy image analysis slide reading device
|
---|---|
Published in |
Malaria Journal, May 2012
|
DOI | 10.1186/1475-2875-11-155 |
Pubmed ID | |
Authors |
William R Prescott, Robert G Jordan, Martin P Grobusch, Vernon M Chinchilli, Immo Kleinschmidt, Joseph Borovsky, Mark Plaskow, Miguel Torrez, Maximo Mico, Christopher Schwabe |
Abstract |
Viewing Plasmodium in Romanovsky-stained blood has long been considered the gold standard for diagnosis and a cornerstone in management of the disease. This method however, requires a subjective evaluation by trained, experienced diagnosticians and establishing proficiency of diagnosis is fraught with many challenges. Reported here is an evaluation of a diagnostic system (a "device" consisting of a microscope, a scanner, and a computer algorithm) that evaluates scanned images of standard Giemsa-stained slides and reports species and parasitaemia. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 2 | 2% |
Australia | 2 | 2% |
Kenya | 1 | 1% |
United Kingdom | 1 | 1% |
Unknown | 89 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 24% |
Researcher | 18 | 19% |
Student > Ph. D. Student | 14 | 15% |
Student > Bachelor | 13 | 14% |
Other | 4 | 4% |
Other | 13 | 14% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 19% |
Engineering | 15 | 16% |
Agricultural and Biological Sciences | 14 | 15% |
Nursing and Health Professions | 10 | 11% |
Computer Science | 8 | 8% |
Other | 18 | 19% |
Unknown | 12 | 13% |