Author

Baoyuan Zhang

University of Zurich

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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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:spatial domain detection· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Daniel RazanskyiD· 2 shared Lin TangiD· 2 shared Michael ReissiD· 2 shared Quanyu ZhouiD· 2 shared Tian Jin· 2 shared Xuyang ChangiD· 2 shared Zhenyue CheniD· 2 shared Abigail S. VigdermaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Daniel RazanskyORCID

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2 papers

Recent·Most cited

Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

Xuyang Chang, Quanyu Zhou, Abigail S. Vigderman, Shuangyi Cheng, Yuanyang Guo, Lin Tang, Tian Jin, Chaim Glück, Junjin Yu, Baoyuan Zhang, Lukas Glandorf, Michael Reiss, Mohamad El Amki, Susanne Wegener, Xosé Luís Deán‐Ben, , Daniel Razansky

SALM uses deep learning to convert motion-blurred streaks into high-resolution brain imaging, reducing reconstruction time and enabling scalable, cross-platform applications.

bioRxiv · Mar 5, 2026 · PreprintNeuroscience

Event2Flow: Scalable imaging of peripheral and cerebral hemodynamics with event-based vision sensors

Quanyu Zhou, Weiye Li, Nico Messikommer, Zhenqiang Li, Tian Jin, Xuyang Chang, Baoyuan Zhang, Shiyao Guo, Lin Tang, Michael Reiss, Xiong Dun, Zhenyue Chen, Davide Scaramuzza, Daniel Razansky

Event2Flow uses event-based sensors to efficiently map blood flow in mice, enabling noninvasive vascular and brain imaging with reduced data and computational demands.

bioRxiv · Feb 18, 2026 · PreprintNeuroscience