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Immunofluorescence Microscopy

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.

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Updated: Jan 15, 2026

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

IntegrAlign:通过图像对齐实现多免疫光面板集成的全面工具.

Leo Hermet^1,2,3, Leo Laoubi^1,2,3, Martial Scavino¹

¹Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, Univ Lyon, Université Claude Bernard Lyon 1, INSERM U1052, CNRS 5286, Lyon, 69008, France.

Bioinformatics (Oxford, England)

|October 16, 2025

概括

此摘要是机器生成的。

IntegrAlign软件精确地集成串行多重免疫光片,使得全面的瘤微环境分析. 该工具通过将多个成像面板与亚细胞精度对齐来增强空间生物学见解和生物标志物发现.

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Published on: March 25, 2020

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科学领域:

空间生物学空间生物学
生物医学成像学生物医学成像学
计算病理学计算病理学

背景情况:

基于铁胺的多重免疫光学 (mIF) 允许在整个幻灯片上同时分析多达七种蛋白质标记物.
从串行幻灯片集成多个mIF面板扩展了单个空间背景内的细胞群的分析.
目前用于集成串行mIF幻灯片的方法可以改进,以进行增强的空间分析和生物标志物发现.

研究的目的:

开发和验证IntegrAlign,这是一个新的计算工具,用于优化串行多重免疫光整片的集成.
提高mIF的价值和适用性,用于全面的空间分析和大规模生物标志物发现.
提供一个开源解决方案,用于精确对准串行mIF幻灯片的图像.

主要方法:

IntegrAlign采用两步图像对齐过程,采用刚性和B-spline转换.
该软件利用SimpleITK工具包进行图像处理和对齐.
该方法在模拟和真实多重复合免疫光数据集上得到了验证.

主要成果:

IntegrAlign实现了低于细胞核直径 (约6微米) 的对齐精度.
开发的方法表现出优越的性能,与现有的图像对齐技术相比,用于串行mIF幻灯片.
精确的对齐通过结合广泛的表型数据,促进了增强的空间分析,从而对组织架构和细胞相互作用产生了新的见解.

结论:

IntegrAlign提供了一种高度准确和高效的方法,用于集成串行多重免疫光片.
该工具显著提高了在瘤微环境中进行全面空间分析和生物标志物发现的能力.
IntegrAlign作为开源软件免费提供,促进了空间生物学研究的更广泛采用.