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• W2885167462 endingPage "e0201747" @default.
• W2885167462 startingPage "e0201747" @default.
• W2885167462 abstract "Leishmania parasites cause a set of neglected tropical diseases with considerable public health impact, the leishmaniases, which are often fatal if left untreated. Since current treatments for the leishmaniases exhibit high toxicity, low efficacy and prohibitive prices, many laboratories throughout the world are engaged in research for the discovery of novel chemotherapeutics. This entails the necessity of screening large numbers of compounds against the clinically relevant form of the parasite, the obligatory intracellular amastigote, a procedure that in many laboratories is still carried out by manual inspection. To overcome this well-known bottleneck in Leishmania drug development, several studies have recently attempted to automate this process. Here we implemented an image-based high content triage assay for Leishmania which has the added advantages of using primary macrophages instead of macrophage cell lines and of enabling identification of active compounds against parasite species developing both in small individual phagolysosomes (such as L. infantum) and in large communal vacuoles (such as L. amazonensis). The automated image analysis protocol is made available for IN Cell Analyzer systems, and, importantly, also for the open-source CellProfiler software, in this way extending its implementation to any laboratory involved in drug development as well as in other aspects of Leishmania research requiring analysis of in vitro infected macrophages." @default.
• W2885167462 created "2018-08-22" @default.
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• W2885167462 date "2018-08-02" @default.
• W2885167462 modified "2023-09-30" @default.
• W2885167462 title "Development of an automated image analysis protocol for quantification of intracellular forms of Leishmania spp." @default.
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• W2885167462 doi "https://doi.org/10.1371/journal.pone.0201747" @default.
• W2885167462 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6072083" @default.
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• W2885167462 hasPublicationYear "2018" @default.
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