Evolutionary Paradigms in Histopathology Serial Sections technology
Fuente:
arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909720736956416 |
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| author | Zhuang, Zhenfeng Cen, Min Jiang, Lei Peng, Qiong Hu, Yihuang Zhou, Hong-Yu Wang, Liansheng |
| author_facet | Zhuang, Zhenfeng Cen, Min Jiang, Lei Peng, Qiong Hu, Yihuang Zhou, Hong-Yu Wang, Liansheng |
| contents | Histopathological analysis has been transformed by serial section-based methods, advancing beyond traditional 2D histology to enable volumetric and microstructural insights in oncology and inflammatory disease diagnostics. This review outlines key developments in specimen preparation and high-throughput imaging that support these innovations. Computational workflows are categorized into multimodal image co-registration, 3D histoarchitecture reconstruction, multiplexed immunohistochemical correlation, and cross-scale data fusion. These approaches exploit serial section-derived spatial concordance to enhance resolution in microenvironmental and molecular profiling. Despite progress, challenges remain in harmonizing heterogeneous datasets, optimizing large-scale registration, and ensuring interpretability. Future directions include spatial transcriptomics, and applications in developmental biology and neuroscience in AI integration, establishing serial section analytics as central to precision histopathology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_02423 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evolutionary Paradigms in Histopathology Serial Sections technology Zhuang, Zhenfeng Cen, Min Jiang, Lei Peng, Qiong Hu, Yihuang Zhou, Hong-Yu Wang, Liansheng Tissues and Organs Histopathological analysis has been transformed by serial section-based methods, advancing beyond traditional 2D histology to enable volumetric and microstructural insights in oncology and inflammatory disease diagnostics. This review outlines key developments in specimen preparation and high-throughput imaging that support these innovations. Computational workflows are categorized into multimodal image co-registration, 3D histoarchitecture reconstruction, multiplexed immunohistochemical correlation, and cross-scale data fusion. These approaches exploit serial section-derived spatial concordance to enhance resolution in microenvironmental and molecular profiling. Despite progress, challenges remain in harmonizing heterogeneous datasets, optimizing large-scale registration, and ensuring interpretability. Future directions include spatial transcriptomics, and applications in developmental biology and neuroscience in AI integration, establishing serial section analytics as central to precision histopathology. |
| title | Evolutionary Paradigms in Histopathology Serial Sections technology |
| topic | Tissues and Organs |
| url | https://arxiv.org/abs/2508.02423 |