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Updated: Jul 26, 2026

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
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S3-CIMA:监督的空间单细胞图像分析,用于在组织中识别与疾病相关的细胞类型组成

Sepideh Babaei1,2, Jonathan Christ3, Vivek Sehra1,4,2

  • 1Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.

Patterns (New York, N.Y.)
|September 18, 2023
PubMed
概括

新的人工智能模型S3-CIMA分析空间细胞数据,揭示疾病特异性的组织微环境. 这种工具有助于通过识别细胞相互作用来了解癌症和自身免疫性疾病.

关键词:
与疾病相关的细胞类型.多重成像多重成像成像空间单个单元格数据监督的空间丰富分析.组织微环境的微环境.缺乏监督的学习学习.

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