Author

Zhuowen Zhao

Chan Zuckerberg Initiative (United States)ORCID 0000-0002-2355-2284Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cell Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:machine learning (classical)· 3 Assay:cryo-EM· 2 Assay:imaging· 1

Frequent Co-Authors

Bridget O CarragheriD· 3 shared Clinton S. PotteriD· 3 shared Jonathan SchwartziD· 3 shared Kyle HarringtoniD· 3 shared Mohammadreza ParaaniD· 3 shared Saugat KandeliD· 3 shared Utz H. ErmeliD· 3 shared Ariana PeckiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCell Biology

Bridget O CarragherORCID

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3 papers

Recent·Most cited

Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography

Ariana Peck, Joshua Hutchings, Jonathan Schwartz, Yue Eric Yu, Utz H. Ermel, Saugat Kandel, Dari Kimanius, Zhuowen Zhao, Shawn Q. Zheng, Brendan Artley, David List, Sergio A. Silva, Walter Reade, Jeremy Asuncion, Kira Evans, , Mohammadreza Paraan

The paper describes a Kaggle challenge for particle picking in cryo-electron tomography, resulting in improved algorithms and highlighting the need for better annotation quality measures.

Nature Methods · Aug 14, 2026Peer-reviewedCell Biology

Open-source Tools for CryoET Particle Picking Machine Learning Competitions

Kyle Harrington, Zhuowen Zhao, Jonathan Schwartz, Saugat Kandel, Utz H. Ermel, Mohammadreza Paraan, Clinton S. Potter, Bridget O Carragher

The paper introduces open-source tools for a machine learning competition focused on particle picking in cryo-electron tomography data.

bioRxiv · Nov 4, 2024 · PreprintBioinformatics

Annotating CryoET Volumes: A Machine Learning Challenge

Ariana Peck, Yue Eric Yu, Jonathan Schwartz, Anchi Cheng, Utz H. Ermel, Saugat Kandel, Dari Kimanius, Elizabeth A. Montabana, Daniel Serwas, Hannah Siems, Feng Wang, Zhuowen Zhao, Shawn Q. Zheng, Matthias Haury, David A. Agard, , Mohammadreza Paraan

The paper introduces a phantom sample and annotated 3D volumes for a machine learning challenge to improve cryoET volume annotation.

bioRxiv · Nov 4, 2024 · PreprintCell Biology