{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T17:50:07Z","timestamp":1724089807976},"reference-count":63,"publisher":"Public Library of Science (PLoS)","issue":"5","license":[{"start":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T00:00:00Z","timestamp":1715817600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["215358\/Z\/19\/Z"],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000849","name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research","doi-asserted-by":"publisher","award":["NC\/P00217X\/1"],"id":[{"id":"10.13039\/501100000849","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019690","name":"Medical Research Council Centre for Medical Mycology","doi-asserted-by":"publisher","award":["MR\/N006364\/2"],"id":[{"id":"10.13039\/501100019690","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019690","name":"Medical Research Council Centre for Medical Mycology","doi-asserted-by":"publisher","award":["MR\/V033417\/1"],"id":[{"id":"10.13039\/501100019690","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/M02010X\/1"],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/S001824\/1"],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/L000822\/1"],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000268","name":"Biotechnology and Biological Sciences Research Council","doi-asserted-by":"publisher","award":["BB\/V017004\/1"],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"Quantifying fungal growth underpins our ability to effectively treat severe fungal infections. Current methods quantify fungal growth rates from time-course morphology-specific data, such as hyphal length data. However, automated large-scale collection of such data lies beyond the scope of most clinical microbiology laboratories. In this paper, we propose a mathematical model of fungal growth to estimate morphology-specific growth rates from easy-to-collect, but indirect, optical density (OD600<\/jats:sub>) data of Aspergillus fumigatus<\/jats:italic> growth (filamentous fungus). Our method accounts for OD600<\/jats:sub> being an indirect measure by explicitly including the relationship between the indirect OD600<\/jats:sub> measurements and the calibrating true fungal growth in the model. Therefore, the method does not require de novo<\/jats:italic> generation of calibration data. Our model outperformed reference models at fitting to and predicting OD600<\/jats:sub> growth curves and overcame observed discrepancies between morphology-specific rates inferred from OD600<\/jats:sub> versus directly measured data in reference models that did not include calibration.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1012105","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T18:03:11Z","timestamp":1715882591000},"page":"e1012105","update-policy":"http:\/\/dx.doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["Inferring fungal growth rates from optical density 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