ArticlePloS one2017
A portable image-based cytometer for rapid malaria detection and quantification.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 54 citations in OpenAlex.
- Remoscope: a label-free imaging cytometer for malaria diagnostics.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025Article
- Advances in Malaria Diagnostic Methods in Resource-Limited Settings: A Systematic Review.Tropical medicine and infectious disease · 2024Review
- Application of image recognition technology in pathological diagnosis of blood smears.Clinical and experimental medicine · 2024Review
- Rapid and Live-Cell Detection of Senescence in Mesenchymal Stem Cells by Micro Magnetic Resonance Relaxometry.Stem cells translational medicine · 2023Article
- Detection of Peripheral Malarial Parasites in Blood Smears Using Deep Learning Models.Computational intelligence and neuroscience · 2022Article
- Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances.Computational intelligence and neuroscience · 2022Review
- Diagnostic Methods for Non-Falciparum Malaria.Frontiers in cellular and infection microbiology · 2021Review
- Review
- Real-time Malaria Parasite Screening in Thick Blood Smears for Low-Resource Setting.Journal of digital imaging · 2020Article
- Deep Learning Based Automatic Malaria Parasite Detection from Blood Smear and its Smartphone Based Application.Diagnostics (Basel, Switzerland) · 2020Article
- Automatic detection ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020Article
- Hybrid microfluidic sorting of rare cells based on high throughput inertial focusing and high accuracy acoustic manipulation.RSC advances · 2019Article
- pyHIVE, a health-related image visualization and engineering system using Python.BMC bioinformatics · 2018Article
- A reference document on Permissible Limits for solvents and buffers during in vitro antimalarial screening.Scientific reports · 2018Article
- Image analysis and machine learning for detecting malaria.Translational research : the journal of laboratory and clinical medicine · 2018Review
- Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination.Sensors (Basel, Switzerland) · 2017Article
- Computer Vision Malaria Diagnostic Systems-Progress and Prospects.Frontiers in public health · 2017Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing resistance by malaria parasites to currently used antimalarials across the developing world warrants timely detection and classification so that appropriate drug combinations can be administered before clinical complications arise. However, this is often challenged by low levels of infection (referred to as parasitemia) and presence of predominantly young parasitic forms in the patients' peripheral blood. Herein, we developed a simple, inexpensive and portable image-based cytometer that detects and numerically counts Plasmodium falciparum infected red blood cells (iRBCs) from Giemsa-stained smears derived from infected blood. Our cytometer is able to classify all parasitic subpopulations by quantifying the area occupied by the parasites within iRBCs, with high specificity, sensitivity and negligible false positives (~ 0.0025%). Moreover, we demonstrate the application of our image-based cytometer in testing anti-malarial efficacy against a commercial flow cytometer and demonstrate comparable results between the two methods. Collectively, these results highlight the possibility to use our image-based cytometer as a cheap, rapid and accurate alternative for antimalarial testing without compromising on efficiency and minimal processing time. With appropriate filters applied into the algorithm, to rule out leukocytes and reticulocytes, our cytometer may also be used for field diagnosis of malaria.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.