Article

Inferring fungal growth rates from optical density data

2024-03-01

Abstract excerpt

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 morpholog...

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Identifiers and source

Literature Corpus work: be58bdf1-dce6-592c-9946-838afc90931c
DOI: 10.1101/2024.02.27.582053

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