Author

B. Menze

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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Bioengineering· 1 Biophysics· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 3 Assay:imaging· 3 Research Focus:clustering· 2 Organism:mouse· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. Erturk· 1 shared A. Ghasemi· 1 shared A. Parra-Damas· 1 shared B. K. Garvalov· 1 shared B. von Neubeck· 1 shared B. Weber· 1 shared B. Wittmann· 1 shared C. Glueck· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperCancer Biology

A. Erturk

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Bessel Beam Optical Coherence Microscopy Enables Multiscale Assessment of Cerebrovascular Network Morphology and Function

L. Glandorf, B. Wittmann, J. Droux, C. Glueck, B. Weber, S. Wegener, M. EL AMKI, R. Leitgeb, B. Menze, D. Razansky

This study introduces Bessel beam optical coherence microscopy to assess cerebrovascular network morphology and function in mice at high resolution and across multiple scales.

bioRxiv · Apr 16, 2024Bioengineering

A new protocol for multispecies bacterial infections in zebrafish and their monitoring through automated image analysis

D. A. Schmitz, T. Wechsler, H. B. Li, B. Menze, R. Kuemmerli

The paper develops a protocol for multispecies bacterial infections in zebrafish and an automated image analysis pipeline to monitor them.

bioRxiv · Jan 15, 2024Microbiology

High-throughput AFM analysis reveals unwrapping pathways of H3 and CENP-A nucleosomes

S. F. Konrad, W. Vanderlinden, W. Frederickx, T. Brouns, B. Menze, S. De Feyter, J. Lipfert

The paper uses high-throughput atomic force microscopy to analyze nucleosome unwrapping pathways, revealing differences between H3 and CENP-A nucleosomes.

bioRxiv · Apr 9, 2020Biophysics

Deep learning reveals cancer metastasis and therapeutic antibody targeting in whole body

C. Pan, O. Schoppe, A. Parra-Damas, R. Cai, M. I. Todorov, G. Gondi, B. von Neubeck, A. Ghasemi, M. A. Reimer, J. Coronel, B. K. Garvalov, B. Menze, R. Zeidler, A. Erturk

This paper introduces DeepMACT, a pipeline for automated detection of cancer metastases and therapeutic antibody targeting in whole-body mouse models using deep learning and enhanced imaging.

bioRxiv · Feb 5, 2019 · PreprintCancer Biology