ARAM: an automated image analysis software to determine rosetting parameters and parasitaemia in Plasmodium samples-Reference-Cited by-同舟云学术

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ARAM: an automated image analysis software to determine rosetting parameters and parasitaemia in Plasmodium samples

Published:2016-04-18 Issue:1 Volume:15 Page:
ISSN:1475-2875
Container-title:Malaria Journal
language:en
Short-container-title:Malar J

Author:

Kudella Patrick Wolfgang,Moll Kirsten,Wahlgren Mats,Wixforth Achim,Westerhausen Christoph

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Parasitology

Link

http://link.springer.com/content/pdf/10.1186/s12936-016-1243-4

Reference27 articles.

1. WHO. World Malaria Report. Geneva: World Health Organization; 2014.

2. Miller L, Baruch D, Marsh K, Doumbo O. The pathogenic basis of malaria. Nature. 2002;415:673–9.

3. Adams Y, Rowe JA. The effect of anti-rosetting agents against malaria parasites under physiological flow conditions. PLoS One. 2013;8:e73999.

4. Silamut K, Phu NH, Whitty C, Turner GD, Louwrier K, Mai NT, et al. A quantitative analysis of the microvascular sequestration of malaria parasites in the human brain. Am J Pathol. 1999;155:395–410.

5. Kaul D, Roth E, Nagel R. Rosetting of Plasmodium falciparum-infected red blood cells with uninfected red blood cells enhances microvascular obstruction under flow conditions. Blood. 1991;3:812–9.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research;Frontiers in Cellular and Infection Microbiology;2022-06-06

2. Blood group and size dependent stability of P. falciparum infected red blood cell aggregates in capillaries;Biomicrofluidics;2020-03

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