{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T05:18:06Z","timestamp":1772255886423,"version":"3.50.1"},"reference-count":0,"publisher":"American Society of Tropical Medicine and Hygiene","license":[{"start":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T00:00:00Z","timestamp":1725926400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,10]]},"abstract":"\n Rodent malaria models serve as important preclinical antimalarial and vaccine testing tools. Evaluating treatment outcomes in these models often requires manually counting parasite-infected red blood cells (iRBCs), a time-consuming process, which can be inconsistent between individuals and laboratories. We have developed an easy-to-use machine learning (ML)-based software, Malaria Screener R, to expedite and standardize such studies by automating the counting of\n Plasmodium<\/jats:italic>\n iRBCs in rodents. This software can process Giemsa-stained blood smear images captured by any camera-equipped microscope. It features an intuitive graphical user interface that facilitates image processing and visualization of the results. The software has been developed as a desktop application that processes images on standard Windows and MacOS computers. A previous ML model created by the authors designed to count\n Plasmodium falciparum<\/jats:italic>\n -infected human RBCs did not perform well counting\n Plasmodium<\/jats:italic>\n -infected mouse RBCs. We leveraged that model by loading the pretrained weights and training the algorithm with newly collected data to target\n Plasmodium yoelii-<\/jats:italic>\n and\n Plasmodium berghei-<\/jats:italic>\n infected mouse RBCs. This new model reliably measured both\n P. yoelii<\/jats:italic>\n and\n P. berghei<\/jats:italic>\n parasitemia (\n R<\/jats:italic>\n 2<\/jats:sup>\n = 0.9916). Additional rounds of training data to incorporate variances due to length of Giemsa staining and type of microscopes, etc., have produced a generalizable model, meeting WHO competency level 1 for the subcategory of parasite counting using independent microscopes. Reliable, automated analyses of blood-stage parasitemia will facilitate rapid and consistent evaluation of novel vaccines and antimalarials across laboratories in an easily accessible in\u00a0vivo malaria model.\n <\/jats:p>","DOI":"10.4269\/ajtmh.24-0135","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T10:38:12Z","timestamp":1725964692000},"source":"Crossref","is-referenced-by-count":1,"title":["Application of Machine Learning in a Rodent Malaria Model for Rapid, Accurate, and Consistent Parasite Counts"],"prefix":"10.4269","author":[{"given":"Sean","family":"Yanik","sequence":"first","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Yu","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, Bethesda, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nattawat","family":"Chaiyawong","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Opeoluwa","family":"Adewale-Fasoro","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciana Ribeiro","family":"Dinis","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ravi Kumar","family":"Narayanasamy","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth C.","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ariel","family":"Lubonja","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bowen","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Jaeger","sequence":"additional","affiliation":[{"name":"National Library of Medicine, National Institutes of Health, Bethesda, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prakash","family":"Srinivasan","sequence":"additional","affiliation":[{"name":"Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland;"},{"name":"Malaria Research Institute, Johns Hopkins School of Public Health, Baltimore, Maryland;"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2795","container-title":["The American Journal of Tropical Medicine and Hygiene"],"original-title":[],"link":[{"URL":"https:\/\/www.ajtmh.org\/view\/journals\/tpmd\/aop\/article-10.4269-ajtmh.24-0135\/article-10.4269-ajtmh.24-0135.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ajtmh.org\/downloadpdf\/journals\/tpmd\/aop\/article-10.4269-ajtmh.24-0135\/article-10.4269-ajtmh.24-0135.xml","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.ajtmh.org\/downloadpdf\/journals\/tpmd\/aop\/article-10.4269-ajtmh.24-0135\/article-10.4269-ajtmh.24-0135.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T10:38:13Z","timestamp":1725964693000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ajtmh.org\/view\/journals\/tpmd\/aop\/article-10.4269-ajtmh.24-0135\/article-10.4269-ajtmh.24-0135.xml"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.4269\/ajtmh.24-0135","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2024.06.05.597554","asserted-by":"object"}]},"ISSN":["0002-9637","1476-1645"],"issn-type":[{"value":"0002-9637","type":"print"},{"value":"1476-1645","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,10]]}}}