Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data.
Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data.
复制标题
多重免疫荧光和免疫组织化学成像数据的统计分析。
DOI：
10.1007/978-1-0716-2986-4_8
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Vandekar,Simon
中科院分区：
文献类型：
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作者：
Wrobel,Julia;Harris,Coleman;Vandekar,Simon
多路单细胞免疫荧光（mIF）和多路免疫组织化学（mIHC）成像技术的进步使细胞间空间关系的分析成为可能，这有望彻底改变我们对组织疾病和自身免疫性疾病的理解。多路图像以多通道TIFF文件的形式采集；然后去噪，分割以识别细胞和细胞核，用蛋白质标记物在载玻片上归一化以纠正批效应，并进行表型分析；然后在细胞水平上分析组织组成和空间背景。本章讨论了mIF/mIHC数据的图像处理和统计分析的方法和软件基础结构。
Advances in multiplexed single-cell immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) imaging technologies have enabled the analysis of cell-to-cell spatial relationships that promise to revolutionize our understanding of tissue-based diseases and autoimmune disorders. Multiplex images are collected as multichannel TIFF files; then denoised, segmented to identify cells and nuclei, normalized across slides with protein markers to correct for batch effects, and phenotyped; and then tissue composition and spatial context at the cellular level are analyzed. This chapter discusses methods and software infrastructure for image processing and statistical analysis of mIF/mIHC data.