Microbiology spectrum
Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.
Lukas Weber, Sarah Brueningk, Bettina Schulthess, Gloria Stillhart, Michelle Bressan, Nadja Pulver-Vontobel, Jasmin Schimetzki, Rosmi Puthan, Andrea Egli-Berini, Oliver Nolte, Adrian Egli
Published: 202510.1128/spectrum.02924-25
Abstract
Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on expert interpretation. MoldVision is a deep-learning approach that uses smartphone images of mold cultures to automate identification. We analyzed 161 cl…
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