Mobile phone imaging and cloud-based analysis for standardized malaria detection and reporting.

ABSTRACT: Rapid diagnostic tests (RDTs) have been widely deployed in low-resource settings. These tests are typically read by visual inspection, and accurate record keeping and data aggregation remains a substantial challenge. A successful malaria elimination campaign will require new strategies that maximize the sensitivity of RDTs, reduce user error, and integrate results reporting tools. In this report, an unmodified mobile phone was used to photograph RDTs, which were subsequently uploaded into a globally accessible database, REDCap, and then analyzed three ways: with an automated image processing program, visual inspection, and a commercial lateral flow reader. The mobile phone image processing detected 20.6 malaria parasites/microliter of blood, compared to the commercial lateral flow reader w

SUBMITTER: Scherr TF 

PROVIDER: S-EPMC4921854 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature