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相关概念视频

Immunofluorescence Microscopy01:12

Immunofluorescence Microscopy

A fluorescence microscope uses fluorescent chromophores called fluorochromes, which can absorb energy from a light source and then emit this energy as visible light. Fluorochromes include naturally fluorescent substances (such as chlorophylls) and fluorescent stains that are added to the specimen to create contrast. Dyes such as Texas red and FITC are examples of fluorochromes. Other examples include the nucleic acid dyes 4’,6’-diamidino-2-phenylindole (DAPI), and acridine orange.
The...

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Updated: Jun 5, 2026

Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens
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统一形式:向多重组织成像的通用免疫光规范化.

Kunlun Wang1, Kaoutar Ait-Ahmad1, Samuel D Kupp1

  • 1Cancer Early Detection Advanced Research (CEDAR), Knight Cancer Institute, Oregon Health & Science University (OHSU), Portland, OR, USA.

bioRxiv : the preprint server for biology
|December 23, 2024
PubMed
概括
此摘要是机器生成的。

UniFORM是一个新的管道,用于规范化多重组织成像 (MTI) 数据. 它有效地减少了染色强度的技术变化,提高了瘤微环境中的空间分析的准确性.

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科学领域:

  • 计算生物学 计算生物学
  • 生物技术是生物技术.
  • 生物信息学是一种生物信息学.

背景情况:

  • 多复合组织成像 (MTI) 提供瘤微环境的高维空间分析.
  • 染色强度的技术变化给MTI数据分析带来了挑战.
  • 现有的规范化方法与异质,右倾的MTI数据分布作斗争.

研究的目的:

  • 为多重组织成像 (MTI) 数据开发一个强大而准确的规范化管道.
  • 解决当前处理技术变化和偏斜数据分布的方法的局限性.
  • 改进MTI数据的信号对齐和下游分析.

主要方法:

  • 介绍UniFORM,一个非参数的,基于Python的MTI数据规范化管道.
  • UniFORM保留了标记强度分布形状和积极的人口比例.
  • 复杂数据集的自动规范化与可选的引导微调.

主要成果:

  • UniFORM在不同MTI平台和数据集中减轻批量效应方面表现出卓越的表现.
  • 观察到改善的标记物分布对齐和增强的kBET分数.
  • UniFORM加强了下游分析,包括UMAP可视化和莱登集群.

结论:

  • UniFORM为MTI数据规范化提供了一个可扩展和强大的解决方案,其性能优于现有的方法.
  • 该管道使空间瘤微环境数据的更准确,更有生物学意义的解释成为可能.
  • 对于基于光的MTI平台来说,UniFORM特别有价值,但广泛适用.