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REPAINT – The Artificial Intelligence Algorithm for Comprehensive Phenotyping of Conidial Fungi

Mar 14, 2022 | Posters

In collaboration with the FungiG laboratory, we aim to advance the understanding of conidial fungi by developing a high-throughput phenotyping system using Biolog FF MicroPlates. By analyzing high-resolution images of the microplates with our deep learning image...

Evolutionary Compromises in Fungal Fitness: Hydrophobins can Hinder the Adverse Dispersal of Conidiospores and Challenge Their Survival

Jul 6, 2020 | Publications

Fungal evolutionary biology is impeded by the scarcity of fossils, irregular life cycles, immortality, and frequent asexual reproduction. Simple and diminutive bodies of fungi develop inside a substrate and have exceptional metabolic and ecological plasticity, which...

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