Automated quantification of hematopoietic cell - stromal cell interactions in histological images of undecalcified bone

Item Type:	Article
Title:	Automated quantification of hematopoietic cell - stromal cell interactions in histological images of undecalcified bone
Creators Name:	Zehentmeier, S. and Cseresnyes, Z. and Escribano Navarro, J. and Niesner, R.A. and Hauser, A.E.
Abstract:	Confocal microscopy is the method of choice for the analysis of localization of multiple cell types within complex tissues such as the bone marrow. However, the analysis and quantification of cellular localization is difficult, as in many cases it relies on manual counting, thus bearing the risk of introducing a rater-dependent bias and reducing interrater reliability. Moreover, it is often difficult to judge whether the co-localization between two cells results from random positioning, especially when cell types differ strongly in the frequency of their occurrence. Here, a method for unbiased quantification of cellular co-localization in the bone marrow is introduced. The protocol describes the sample preparation used to obtain histological sections of whole murine long bones including the bone marrow, as well as the staining protocol and the acquisition of high-resolution images. An analysis workflow spanning from the recognition of hematopoietic and non-hematopoietic cell types in 2-dimensional (2D) bone marrow images to the quantification of the direct contacts between those cells is presented. This also includes a neighborhood analysis, to obtain information about the cellular microenvironment surrounding a certain cell type. In order to evaluate whether co-localization of two cell types is the mere result of random cell positioning or reflects preferential associations between the cells, a simulation tool which is suitable for testing this hypothesis in the case of hematopoietic as well as stromal cells, is used. This approach is not limited to the bone marrow, and can be extended to other tissues to permit reproducible, quantitative analysis of histological data.
Keywords:	Developmental Biology, Image Analysis, Neighborhood Analysis, Bone Marrow, Stromal Cells, Bone Marrow Niches, Simulation, Bone Cryosectioning, Bone Histology, Animals, Mice
Source:	Journal of Visualized Experiments
ISSN:	1940-087X
Publisher:	JoVE
Number:	98
Date:	8 April 2015
Official Publication:	https://doi.org/10.3791/52544
PubMed:	View item in PubMed

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