Author

Matthias Schmal

TU WienORCID 0000-0002-3592-4882Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:fungi (other)· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:genome assembly· 1 Assay:imaging· 1

Frequent Co-Authors

Astrid Rosa Mach-AigneriD· 3 shared Christian ZimmermanniD· 3 shared Robert Ludwig MachiD· 3 shared Barbara Hufnagel· 1 shared Caroline DanneriD· 1 shared Chin Mei Chan· 1 shared Christian StanettyiD· 1 shared Christoph SusteriD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersMicrobiology

Astrid Rosa Mach-AignerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genome sequencing and physiological characterization of three Neoarthrinium moseri strains

Nadine J. Hochenegger, Gabriel Alexander Vignolle, Matthias Schmal, Robert Ludwig Mach, Astrid Rosa Mach-Aigner, Mohammad Javad Rahimi, Chin Mei Chan, Feng M. Cai, Irina S. Druzhinina, Christian Zimmermann

This study sequenced the genomes of three Neoarthrinium moseri strains and characterized their metabolic potential, revealing high biosynthetic gene clusters and ecological versatility.

BMC Microbiology · Aug 21, 2025Peer-reviewedMicrobiology

TU_MyCo-Vision: A Deep Learning Tool for Detection of Cell Morphologies in Fungal Microscopic Images

Kartik J. Deopujari, Matthias Schmal, Caroline Danner, Zainab Abdul Qayyum, Jordy T. Zwerus, Julian Kopp, Mihail Besleaga, Roghayeh Shirvani, Astrid Rosa Mach-Aigner, Robert Ludwig Mach, Christian Zimmermann

The paper introduces TU_MyCo-Vision, a deep learning tool for detecting 13 fungal morphotypes in bright-field images, showing strong performance on Aureobasidium pullulans and other fungal species.

bioRxiv · Jul 23, 2025 · PreprintMicrobiology

Discovery of a novel antifungal compound, ilicicolin K, through genetic activation of the ilicicolin biosynthetic pathway in Trichoderma reesei

Isabella Burger, Matthias Schmal, Kathrin Peikert, Lukas Fourtis, Christoph Suster, Christian Stanetty, Dominik Schnalzer, Barbara Hufnagel, Thomas Böttcher, Ruth Birner‐Gruenberger, Robert Ludwig Mach, Astrid Rosa Mach-Aigner, Matthias Schittmayer, Christian Zimmermann

This paper activates the ilicicolin biosynthetic pathway in Trichoderma reesei to discover a novel antifungal compound, ilicicolin K, with similar antifungal activity to ilicicolin H.

Biotechnology for Biofuels and Bioproducts · Mar 11, 2025Peer-reviewedBiochemistry