Author

Tian Jin

University of ZurichPrimary ORCID profile (0000-0003-4815-0668 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Tian JiniD5 papers · National Institutes of Health

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Baoyuan Zhang· 2 shared Daniel RazanskyiD· 2 shared Lin TangiD· 2 shared Michael ReissiD· 2 shared Quanyu ZhouiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Baoyuan Zhang

Mutual co-authors in cluster

Author profile →

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