Author

Xing Cheng

University of TorontoORCID 0000-0002-7959-6403Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:electronic health records· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Gary D. BaderiD· 3 shared Ronald XieiD· 2 shared Alex Y. H. WongiD· 1 shared Ali DarbandiiD· 1 shared Andreas BueckleiD· 1 shared Archibald EnninfuliD· 1 shared Ben MulcahyiD· 1 shared Bruce W. HerriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Gary D. BaderORCID

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Author profile →

3 papers

Recent·Most cited

Multiscale harmonization, semantic integration, and immersive exploration of single-cell data in support of novel biological insights

Andreas Bueckle, Chenchen Zhu, Alex Y. H. Wong, Archibald Enninful, Miao Yang, Negin Farzad, Maria Hauge, Courteney Mattison, Nick Sloan, Jason A. Mares, Xing Cheng, Bruce W. Herr, Juhi Khare, Yash Ramesh Kumar, Keyur Parekh, , Katy Börner

A free Meta Quest virtual reality app harmonizes CODEX, Visium, Xenium, volumetric immunofluorescence and electron microscopy data from 5 organs into 4 scale levels using the Human Reference Atlas.

bioRxiv · Sep 30, 2026 · PreprintBioinformatics✦ In-depth digest

Multiscale volume electron microscopy of the human liver maps vascular-cellular architecture, organelle dynamics and inter-organelle communication

Xing Cheng, Ronald Xie, Ben Mulcahy, Ali Darbandi, Cornelia E. Thoeni, Ishaan Singh Chandok, Y Lee, Jun Ma, Fez Ali, Ian D. McGilvray, Sonya A. MacParland, Mei Zhen, Gary D. Bader

The paper maps the multiscale structure of human liver tissue using electron microscopy and deep learning, revealing vascular, cellular, and organelle organization and dynamics.

bioRxiv · Apr 24, 2026 · PreprintCell Biology

RETINA: Reconstruction-based Pre-Trained Enhanced TransUNet for Electron Microscopy Segmentation on the CEM500K Dataset

Cheng Xing, Ronald Xie, Gary D. Bader

RETINA improves EM image segmentation by combining pre-training on CEM500K with a hybrid model, outperforming existing methods on five public datasets.

PLoS Computational Biology · May 28, 2025Peer-reviewedBioinformatics