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Updated: Feb 14, 2026

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi
Published on: November 28, 2019
DecoFungi: a web application for automatic characterisation of dye decolorisation in fungal strains
César Domínguez1, Jónathan Heras2, Eloy Mata1
1Department of Mathematics and Computer Science, University of La Rioja, Ed. CCT. C/ Madre de Dios 53, Logroño, 26006, Spain.
Background:
Fungi have diverse biotechnological applications in, among others, agriculture, bioenergy generation, or remediation of polluted soil and water. In this context, culture media based on color change in response to degradation of dyes are particularly relevant; but measuring dye decolorisation of fungal strains mainly relies on a visual and semiquantitative classification of color intensity changes. Such a classification is a subjective, time-consuming and difficult to reproduce process.
Results:
DecoFungi is the first, at least up to the best of our knowledge, application to automatically characterise dye decolorisation level of fungal strains from images of inoculated plates. In order to deal with this task, DecoFungi employs a deep-learning model, accessible through a user-friendly web interface, with an accuracy of 96.5%.
Conclusions:
DecoFungi is an easy to use system for characterising dye decolorisation level of fungal strains from images of inoculated plates.
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