@inbook{2492942172b3407ca5fec97beaf20209,
title = "Quantitative Immunofluorescent Imaging of Immune Cells in Mucosal Tissues",
abstract = "Understanding the interplay between commensals, pathogens, and immune cells in the skin and mucosal tissues is critical to improve prevention and treatment of a myriad of diseases. While high-parameter flow cytometry is the current gold standard for immune cell characterization in blood, it is less suitable for mucosal tissues, where structural and spatial information is lost during tissue disaggregation. Immunofluorescence overcomes this limitation, serving as an excellent alternative for studying immune cells in mucosal tissues. However, the use of immunofluorescent microscopy for analyzing clinical samples is hampered by a lack of high-throughput quantitative analysis techniques. In this chapter, we describe methods for sectioning, staining, and imaging whole sections of human foreskin tissue. We also describe methods to automate immune cell quantification from immunofluorescent images, including image preprocessing and methods to quantify both circular and irregularly shaped immune cells using open-source software.",
keywords = "Automated cell counting, Epithelium, Immunology, Mucosa, Quantitative immunofluorescent microscopy, Skin",
author = "Buchanan, {Lane B.} and Zhongtian Shao and Jiang, {Yuan Chung} and Abbie Lai and Hope, {Thomas J.} and Carias, {Ann M.} and Prodger, {Jessica L.}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2022",
doi = "10.1007/978-1-0716-2051-9_9",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "143--164",
booktitle = "Methods in Molecular Biology",
}
