ArticlePloS one2014
An image-based algorithm for precise and accurate high throughput assessment of drug activity against the human parasite Trypanosoma cruzi.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.Journal of microscopy · 2026Review
- NN-assisted image analysis for quantifying intracellularFrontiers in cellular and infection microbiology · 2026Article
- Loss of CHMP2A implicates an ordered assembly of ESCRT-III proteins during cytokinetic abscission.Molecular biology of the cell · 2025Article
- Discovery and Early Optimization of 1Journal of medicinal chemistry · 2025Article
- Past and future of trypanosomatids high-throughput phenotypic screening.Memorias do Instituto Oswaldo Cruz · 2022Article
- Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.Frontiers in cellular and infection microbiology · 2022Review
- The translational challenge in Chagas disease drug development.Memorias do Instituto Oswaldo Cruz · 2022Review
- Optimization and biological validation of anBiology methods & protocols · 2021Article
- High-Throughput Screening of the ReFRAME Library Identifies Potential Drug Repurposing Candidates forMicroorganisms · 2020Article
- Drug Discovery for Chagas Disease: Impact of Different Host Cell Lines on Assay Performance and Hit Compound Selection.Tropical medicine and infectious disease · 2019Article
- Innovation in neglected tropical disease drug discovery and development.Infectious diseases of poverty · 2018Review
- Evaluation of Parameters Impacting Drug Susceptibility in Intracellular Trypanosoma cruzi Assay Protocols.SLAS discovery : advancing life sciences R & D · 2017Article
- Quantitative Laser Biospeckle Method for the Evaluation of the Activity of Trypanosoma cruzi Using VDRL Plates and Digital Analysis.PLoS neglected tropical diseases · 2016Article
- Contribution of high-content imaging technologies to the development of anti-infective drugs.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2016Review
- Next-generation antimicrobials: from chemical biology to first-in-class drugs.Archives of pharmacal research · 2015Review
- Automated high-content assay for compounds selectively toxic to Trypanosoma cruzi in a myoblastic cell line.PLoS neglected tropical diseases · 2015Article
- High throughput screening for anti-Trypanosoma cruzi drug discovery.PLoS neglected tropical diseases · 2014Review
- Nitroheterocyclic compounds are more efficacious than CYP51 inhibitors against Trypanosoma cruzi: implications for Chagas disease drug discovery and development.Scientific reports · 2014Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a customized high content (image-based) and high throughput screening algorithm for the quantification of Trypanosoma cruzi infection in host cells. Based solely on DNA staining and single-channel images, the algorithm precisely segments and identifies the nuclei and cytoplasm of mammalian host cells as well as the intracellular parasites infecting the cells. The algorithm outputs statistical parameters including the total number of cells, number of infected cells and the total number of parasites per image, the average number of parasites per infected cell, and the infection ratio (defined as the number of infected cells divided by the total number of cells). Accurate and precise estimation of these parameters allow for both quantification of compound activity against parasites, as well as the compound cytotoxicity, thus eliminating the need for an additional toxicity-assay, hereby reducing screening costs significantly. We validate the performance of the algorithm using two known drugs against T.cruzi: Benznidazole and Nifurtimox. Also, we have checked the performance of the cell detection with manual inspection of the images. Finally, from the titration of the two compounds, we confirm that the algorithm provides the expected half maximal effective concentration (EC50) of the anti-T. cruzi activity.
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