ArticlePLoS neglected tropical diseases2014
INsPECT, an open-source and versatile software for automated quantification of (Leishmania) intracellular parasites.
Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning.BMC infectious diseases · 2026Article
- 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
- DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images.BMC medical imaging · 2024Article
- Detection and counting ofFrontiers in medical technology · 2024Article
- Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.Frontiers in cellular and infection microbiology · 2022Review
- Challenges and Tools for In VitroPathogens (Basel, Switzerland) · 2021Review
- Article
- Non-invasive monitoring of drug action: A new live in vitro assay design for Chagas' disease drug discovery.PLoS neglected tropical diseases · 2020Article
- High-content imaging assay to evaluate Toxoplasma gondii infection and proliferation: A multiparametric assay to screen new compounds.PloS one · 2018Article
- 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
- Article
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6 authors.
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Abstract
Intracellular protozoan parasites are causative agents of infectious diseases that constitute major health problems for developing countries. Leishmania sp., Trypanosoma cruzi or Toxoplasma gondii are all obligate intracellular protozoan parasites that reside and multiply within the host cells of mammals, including humans. Following up intracellular parasite proliferation is therefore an essential and a quotidian task for many laboratories working on primary screening of new natural and synthetic drugs, analyzing drug susceptibility or comparing virulence properties of natural and genetically modified strains. Nevertheless, laborious manual microscopic counting of intracellular parasites is still the most commonly used approach. Here, we present INsPECT (Intracellular ParasitE CounTer), an open-source and platform independent software dedicated to automate infection level measurement based on fluorescent DNA staining. It offers the possibility to choose between different types of analyses (fluorescent DNA acquisitions only or in combination with phase contrast image set to further separate intra- from extracellular parasites), and software running modes (automatic or custom). A proof-of-concept study with intracellular Leishmania infantum parasites stained with DAPI (4',6-diamidino-2-phenylindole) confirms a good correspondence between digital results and the "gold standard" microscopic counting method with Giemsa. Interestingly, this software is versatile enough to accurately detect intracellular T. gondii parasites on images acquired with High Content Screening (HCS) systems. In conclusion, INsPECT software is proposed as a new fast and simple alternative to the classical intracellular Leishmania quantification methods and can be adapted for mid to large-scale drug screening against different intracellular parasites.
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