ArticleDiagnostics (Basel, Switzerland)2021
An Automated Microscopic Malaria Parasite Detection System Using Digital Image Analysis.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Prevalence and associated factors of microscopy-confirmed malaria among the general population in Ethiopia: a systematic review and meta-analysis.Malaria journal · 2026Pooled it
- Evaluating the diagnostic performance of miLab™ for detection of malaria parasites using nPCR as reference standard.Malaria journal · 2026Article
- An interactive mindmap of blood film images for automated malaria diagnosis: a comprehensive metadata repository of available datasets.Bioinformatics advances · 2026Review
- Optimized CNN framework for malaria detection using Otsu thresholding-based image segmentation.Scientific reports · 2025Article
- Rapid and Multiplex Diagnosis of Malaria Using Chelex-100 Extraction and LAMP-MS Assay.Bio-protocol · 2025Article
- Article
- Development of a rapid malaria LAMP-MS assay for diagnosis of malaria infections.Scientific reports · 2025Article
- PERCEPTION OF HEALTH CARE WORKERS ON ARTIFICIAL INTELLIGENCE BASED MALARIA DIAGNOSIS IN SOUTHWESTERN NIGERIA.Annals of Ibadan postgraduate medicine · 2024Article
- Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- 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
- Diagnostic accuracy of an automated microscope solution (miLab™) in detecting malaria parasites in symptomatic patients at point-of-care in Sudan: a case-control study.Malaria journal · 2024Article
- Article
- Article
- Malaria Detection Accelerated: Combing a High-Throughput NanoZoomer Platform with a ParasiteMacro Algorithm.Pathogens (Basel, Switzerland) · 2022Article
- Field Evaluation of a Hemozoin-Based Malaria Diagnostic Device in Puerto Lempira, Honduras.Diagnostics (Basel, Switzerland) · 2022Article
- Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings.Frontiers in artificial intelligence · 2022Article
- Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.Frontiers in cellular and infection microbiology · 2022Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Rapid diagnosis and parasitemia measurement is crucial for management of malaria. Microscopic examination of peripheral blood (PB) smears is the gold standard for malaria detection. However, this method is labor-intensive. Here, we aimed to develop a completely automated microscopic system for malaria detection and parasitemia measurement. The automated system comprises a microscope, plastic chip, fluorescent dye, and an image analysis program. Analytical performance was evaluated regarding linearity, precision, and limit of detection and was compared with that of conventional microscopic PB smear examination and flow cytometry. The automated microscopic malaria parasite detection system showed a high degree of linearity for
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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.