Author

Michael Maibach

German Center for Neurodegenerative DiseasesORCID 0009-0002-9949-5463Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Agoston LajkoiD· 1 shared Alex Simon Lagurin· 1 shared Álvaro Sánchez‐LópeziD· 1 shared Barbara Schaffran· 1 shared Beverley A. ClarkiD· 1 shared Court HulliD· 1 shared Dana CoheniD· 1 shared David J. HerzfeldiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Agoston LajkoORCID

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2 papers

Recent·Most cited

Three-photon in vivo imaging of neurons and glia in the medial prefrontal cortex with sub-cellular resolution

Falko Fuhrmann, Felix Christopher Nebeling, Fabrizio Musacchio, Manuel Mittag, Stefanie Poll, Monika C. M. Müller, Eleonora Ambrad Giovannetti, Michael Maibach, Barbara Schaffran, Emily R. Burnside, Ivy Chi Wai Chan, Alex Simon Lagurin, Nicole Reichenbach, Sanjeev Kumar Kaushalya, Hans‐Ulrich Fried, , Martin Fuhrmann

This paper demonstrates three-photon in vivo imaging in the mouse medial prefrontal cortex to achieve sub-cellular resolution of neuronal and glial activity at unprecedented depths.

Communications Biology · May 23, 2025Peer-reviewedNeuroscience

A deep-learning strategy to identify cell types across species from high-density extracellular recordings

Maxime Beau, David J. Herzfeld, Francisco Naveros, Marie E. Hemelt, Federico D’Agostino, Marlies Oostland, Álvaro Sánchez‐López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah Stabb, M. Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, , Javier F. Medina

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

Cell · Feb 28, 2025Peer-reviewedNeuroscience