Author

Matthias Minder

École Polytechnique Fédérale de Lausanne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:yeast· 1

Frequent Co-Authors

Ahmad Reza Sadeghi· 1 shared Anne‐Florence BitboliD· 1 shared Augoustina Maria EconomouiD· 1 shared Chun Hei Michael ChaniD· 1 shared Denis Alain Henri Lucien JolyiD· 1 shared MARTIN G. WEIGERTiD· 1 shared Mateusz KozińskiiD· 1 shared Nicola DietleriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ahmad Reza Sadeghi

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1 paper

Recent·Most cited

YeaZ: A convolutional neural network for highly accurate, label-free segmentation of yeast microscopy images

Nicola Dietler, Matthias Minder, Vojislav Gligorovski, Augoustina Maria Economou, Denis Alain Henri Lucien Joly, Ahmad Reza Sadeghi, Chun Hei Michael Chan, Mateusz Koziński, MARTIN G. WEIGERT, Anne‐Florence Bitbol, Sahand Jamal Rahi

The paper introduces YeaZ, a CNN for accurate yeast cell segmentation without fluorescent markers, outperforming existing methods and revealing new biology in cell morphology.

Nature Communications · Nov 12, 2020Peer-reviewedBioinformatics