Unbiased quantification of the spatial distribution of murine cells using point pattern analysis

Summary: CNS injuries are associated with profound changes in cell organization. This protocol presents a stepwise approach to quantitatively describe the spatiotemporal changes in glial cell rearrangement in the injured murine brain, which is applicable to other biological contexts. Herein, we appl...

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Main Authors: Daniel Manrique-Castano, Ayman ElAli
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166724001540
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author Daniel Manrique-Castano
Ayman ElAli
author_facet Daniel Manrique-Castano
Ayman ElAli
author_sort Daniel Manrique-Castano
collection DOAJ
description Summary: CNS injuries are associated with profound changes in cell organization. This protocol presents a stepwise approach to quantitatively describe the spatiotemporal changes in glial cell rearrangement in the injured murine brain, which is applicable to other biological contexts. Herein, we apply common immunolabeling of neurons and glial cells and wide-field microscopy imaging. Then, we employ computational tools for alignment to the Allen Brain Atlas, unbiased/automatic detection of cells, generation of point patterns, and data analysis.For complete details on the use and execution of this protocol, please refer to Manrique-Castano et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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spelling doaj.art-571832ac25f4464b910b7314d846d3bc2024-04-03T04:27:27ZengElsevierSTAR Protocols2666-16672024-06-0152102989Unbiased quantification of the spatial distribution of murine cells using point pattern analysisDaniel Manrique-Castano0Ayman ElAli1Neuroscience Axis, Research Center of CHU de Québec - Université Laval, Quebec City, QC G1V 0A6, Canada; Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1V 4G2, Canada; Corresponding authorNeuroscience Axis, Research Center of CHU de Québec - Université Laval, Quebec City, QC G1V 0A6, Canada; Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1V 4G2, Canada; Corresponding authorSummary: CNS injuries are associated with profound changes in cell organization. This protocol presents a stepwise approach to quantitatively describe the spatiotemporal changes in glial cell rearrangement in the injured murine brain, which is applicable to other biological contexts. Herein, we apply common immunolabeling of neurons and glial cells and wide-field microscopy imaging. Then, we employ computational tools for alignment to the Allen Brain Atlas, unbiased/automatic detection of cells, generation of point patterns, and data analysis.For complete details on the use and execution of this protocol, please refer to Manrique-Castano et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166724001540Cell BiologyMicroscopyNeuroscience
spellingShingle Daniel Manrique-Castano
Ayman ElAli
Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
STAR Protocols
Cell Biology
Microscopy
Neuroscience
title Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
title_full Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
title_fullStr Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
title_full_unstemmed Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
title_short Unbiased quantification of the spatial distribution of murine cells using point pattern analysis
title_sort unbiased quantification of the spatial distribution of murine cells using point pattern analysis
topic Cell Biology
Microscopy
Neuroscience
url http://www.sciencedirect.com/science/article/pii/S2666166724001540
work_keys_str_mv AT danielmanriquecastano unbiasedquantificationofthespatialdistributionofmurinecellsusingpointpatternanalysis
AT aymanelali unbiasedquantificationofthespatialdistributionofmurinecellsusingpointpatternanalysis