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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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相关实验视频

Updated: Jan 8, 2026

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
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由查询驱动的生成人工智能从组织学中合成了多模式空间奥米克.

Minxing Pang1, Tarun Kanti Roy2, Xiaodong Wu3

  • 1Applied Mathematics & Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.

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概括

TissueCraftAI使用生成性AI从组织学图像中预测空间奥米克,弥合了病理学和分子数据之间的差距. 这种计算病理学工具增强了细胞注释和患者生存预测.

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科学领域:

  • 计算病理学计算病理学
  • 医学中的人工智能.
  • 空间奥米克斯 空间奥米克斯

背景情况:

  • 空间奥米克提供了组织细胞组织洞察力,但缺乏临床可扩展性.
  • 组织学染色图像是诊断的基础,但缺乏分子数据.
  • 在仅仅从组织学推断分子数据时存在计算差距.

研究的目的:

  • 介绍TissueCraftAI,一种生成性AI框架,可以从组织学图像中预测多模式空间奥米克图.
  • 开发一种方法来弥合标准组织学和分子数据之间的差距.
  • 启用查询驱动的in silico空间分子分析.

主要方法:

  • 开发了TissueCraftAI,这是一个生成的人工智能框架.
  • 创建了PRISM-12M,一个大规模的数据集,包含1200万个组织学和空间奥米克图像补丁.
  • 利用自然语言提示来预测空间奥米克数据.

主要成果:

  • 在生成现实的组织学图像方面,TissueCraftAI的性能优于现有的方法.
  • 准确地预测空间蛋白质组学和转录组学数据的高保真度.
  • 在改善细胞类型注释和患者生存预测方面证明有用.

结论:

  • TissueCraftAI能够从常规组织学图像中准确地推断空间分子数据.
  • 开辟了计算病理学和精准医学领域的新研究途径.
  • 促进灵活的,查询驱动的in silico空间分子分析.