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Image analysis to characterize fungal growth and morphology
Fungi produce complex networks of filamentous structures that allow them to colonize different environments. The filamentous nature makes quantitative analyses of fungal growth dynamics and morphology challenging. Vidal-Diez de Ulzurrun et al. have developed a new method for capturing images of live fungi and a tool, Fungal Feature Tracker, to extract different morphological features from fungal images. FFT can quantitatively characterize fungal morphology, cell number and measure filamentous growth allowing objective and precise characterization of phenotypes which will advance our understanding of fungal growth and biology.
Image Credit: Guillermo Vidal-Diez de Ulzurrun, Institute of Molecular Biology, Academia Sinica, Taiwan
Citation: (2019) PLoS Computational Biology Issue Image | Vol. 15(10) October 2019. PLoS Comput Biol 15(10): ev15.i10. https://doi.org/10.1371/image.pcbi.v15.i10
Published: October 31, 2019
Copyright: © 2019 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fungi produce complex networks of filamentous structures that allow them to colonize different environments. The filamentous nature makes quantitative analyses of fungal growth dynamics and morphology challenging. Vidal-Diez de Ulzurrun et al. have developed a new method for capturing images of live fungi and a tool, Fungal Feature Tracker, to extract different morphological features from fungal images. FFT can quantitatively characterize fungal morphology, cell number and measure filamentous growth allowing objective and precise characterization of phenotypes which will advance our understanding of fungal growth and biology.
Image Credit: Guillermo Vidal-Diez de Ulzurrun, Institute of Molecular Biology, Academia Sinica, Taiwan