ArticlePloS one2013
An image analysis algorithm for malaria parasite stage classification and viability quantification.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High-throughput screening and meta-analysis for lead compounds in antimalarial drug discovery.Malaria journal · 2025Pooled it
- Intelligent automation cognitive system for accurate malaria diagnosis using digital blood smears.PloS one · 2026Article
- Enhanced detection of malaria infected red blood cells through phase driven classification.Scientific reports · 2025Article
- High-content imaging as a tool to quantify and characterize malaria parasites.Cell reports methods · 2023Article
- Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances.Computational intelligence and neuroscience · 2022Review
- A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens.Science advances · 2020Article
- A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy.PloS one · 2020Article
- CanJournal of parasitology research · 2020Article
- Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Image analysis and machine learning for detecting malaria.Translational research : the journal of laboratory and clinical medicine · 2018Review
- Viability Test Device for anisakid nematodes.Heliyon · 2018Article
- High-content imaging assay to evaluate Toxoplasma gondii infection and proliferation: A multiparametric assay to screen new compounds.PloS one · 2018Article
- 4-Nitro styrylquinoline is an antimalarial inhibiting multiple stages of Plasmodium falciparum asexual life cycle.International journal for parasitology. Drugs and drug resistance · 2017Article
- Article
- 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
- Spirocyclic chromanes exhibit antiplasmodial activities and inhibit all intraerythrocytic life cycle stages.International journal for parasitology. Drugs and drug resistance · 2016Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
With more than 40% of the world's population at risk, 200-300 million infections each year, and an estimated 1.2 million deaths annually, malaria remains one of the most important public health problems of mankind today. With the propensity of malaria parasites to rapidly develop resistance to newly developed therapies, and the recent failures of artemisinin-based drugs in Southeast Asia, there is an urgent need for new antimalarial compounds with novel mechanisms of action to be developed against multidrug resistant malaria. We present here a novel image analysis algorithm for the quantitative detection and classification of Plasmodium lifecycle stages in culture as well as discriminating between viable and dead parasites in drug-treated samples. This new algorithm reliably estimates the number of red blood cells (isolated or clustered) per fluorescence image field, and accurately identifies parasitized erythrocytes on the basis of high intensity DAPI-stained parasite nuclei spots and Mitotracker-stained mitochondrial in viable parasites. We validated the performance of the algorithm by manual counting of the infected and non-infected red blood cells in multiple image fields, and the quantitative analyses of the different parasite stages (early rings, rings, trophozoites, schizonts) at various time-point post-merozoite invasion, in tightly synchronized cultures. Additionally, the developed algorithm provided parasitological effective concentration 50 (EC50) values for both chloroquine and artemisinin, that were similar to known growth inhibitory EC50 values for these compounds as determined using conventional SYBR Green I and lactate dehydrogenase-based assays.
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