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[2511.02860] AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization
Summary
The article presents DeepOrganelle, a deep learning tool that enhances large-scale electron microscopy for mapping organelle distribution and interactions at the tissue level, revealing new insights into cellular dynamics during spermatogenesis.
Why It Matters
This research is significant as it addresses the limitations of current computational analysis in electron microscopy, providing a powerful framework for understanding cellular physiology and pathology. The findings could have implications for developmental biology and disease research.
Key Takeaways
- DeepOrganelle enables high-throughput analysis of organelle dynamics.
- The tool provides insights into stage-dependent mitochondrial interactions during meiosis.
- It digitizes organelle redistribution in Sertoli cells, enhancing understanding of tissue remodeling.
Physics > Biological Physics arXiv:2511.02860 (physics) [Submitted on 2 Nov 2025 (v1), last revised 22 Feb 2026 (this version, v2)] Title:AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization Authors:Li Xiao, Liqing Liu, Hongjun Wu, Jiayi Zhong, Xixia Li, Yan Zhang, Junjie Hu, Sun Fei, Ge Yang, Tao Xu View a PDF of the paper titled AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization, by Li Xiao and 9 other authors View PDF Abstract:The distribution and interactions of cellular organelles play a critical role in mediating cellular physiology and pathology. Large-scale electron microscopy enables visualization of organelle distribution and interactions at the tissue level with nanometer resolution, but robust and efficient computational analysis tools are lacking. Here, we present a deep learning tool for universal large-scale 2D/3D electron microscopy analysis, DeepOrganelle. This new tool enables high-throughput, cell-resolved spatiotemporal mapping and digitization of organelle distribution and interactions. When applied to spermatogenesis across 12 stages and 22 differentiation status of the germ cells, DeepOrganelle uncovered previously unrecognized, stage-dependent dynamics of mitochondria-endoplasmic reticulum contact sites within one subphase of prophase I during meiosis. It also revealed coordinated organelle redistribution in Sertoli cells towards the blood-testis barrier, digitizing the remodeli...
