ClinicalTrials.gov
public full text
Public Domain
Evaluation of a Digital Microscope for Malaria
Light microscopy, which is based on century-old technology, remains a key indicator in drug efficacy testing performed in the context of clinical trials for monitoring existing antimalarial drugs or in the context of regulatory clinical trials for registration of new drugs. It is one of the main diagnostic methods for malaria diagnosis in general, as in an ideal setting it can provide low-cost accurate diagnosis, determine the density of parasites in the blood, and accurately differentiate between different malaria parasite species, characteristics vital to the implementation of global plans for drug efficacy monitoring. Malaria rapid tests (RDTs), while useful for rapid diagnosis and case management, do not provide information on the parasite density nor the species differentiation necessary for research and drug efficacy assessment. Microscopy therefore retains key advantages over a number of newer technologies, but its reliability is severely impeded by dependence on high technical competence of the human operators as well as availability of high quality equipment and reagents. Recent studies have demonstrated frequent poor specificity and sensitivity associated with manual microscopy diagnostics in operational conditions. These drawbacks constitute a major limiting factor to effective monitoring and preservation of vital anti-malarial medicines. Advances in digital microscopy performance and affordability have now opened the door to potentially significant improvements in the performance of malaria microscopy, overcoming serious deficiencies in current drug efficacy assessment, and more broadly in malaria diagnosis and management. Global Good (GG)/Intellectual Ventures Laboratory (IVL) sponsored by the Global Good Fund, has developed a microscope prototype consisting of low cost components to scan and capture images from Giemsa-stained thick blood films on slides. The captured images are analyzed with custom image analysis software developed at GG/IVL, using al
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Field Evaluation of a Device for Automated Malaria Microscopy (Autoscope Version 2)#812538
- Clinical Validation of Novel Malaria Diagnostic Tools for POC Point-of-Care Testing#835243
- Development and effectiveness test of an internet-based real-time monitoring device for malaria parasite vector mosquitoes.#1284644
- Validation of RealAmp Method for the Diagnosis of Malaria in Endemic Areas of Brazil#893777
- Detection of malaria infection from parasite-free blood smears#1079546
Record · ID 1196280
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive