TY - JOUR
T1 - Quantifying microglia morphology from photomicrographs of immunohistochemistry prepared tissue using imagej
AU - Young, Kimberly
AU - Morrison, Helena
N1 - Funding Information:
This study received financial support from NINR (F32NR013611). We would like to further acknowledge and thank the developers of AnalyzeSkeleton(2D/3D) and FracLac (Arganda-Carreras et al. and Karperien et al., respectively) without which the analysis described herein would not be possible.
Publisher Copyright:
© 2018, Journal of Visualized Experiments. All rights reserved.
PY - 2018/6/5
Y1 - 2018/6/5
N2 - Microglia are brain phagocytes that participate in brain homeostasis and continuously survey their environment for dysfunction, injury, and disease. As the first responders, microglia have important functions to mitigate neuron and glia dysfunction, and in this process, they undergo a broad range of morphologic changes. Microglia morphologies can be categorized descriptively or, alternatively, can be quantified as a continuous variable for parameters such as cell ramification, complexity, and shape. While methods for quantifying microglia are applied to single cells, few techniques apply to multiple microglia in an entire photomicrograph. The purpose of this method is to quantify multiple and single cells using readily available ImageJ protocols. This protocol is a summary of the steps and ImageJ plugins recommended to convert fluorescence and bright-field photomicrographs into representative binary and skeletonized images and to analyze them using software plugins AnalyzeSkeleton (2D/3D) and FracLac for morphology data collection. The outputs of these plugins summarize cell morphology in terms of process endpoints, junctions, and length as well as complexity, cell shape, and size descriptors. The skeleton analysis protocol described herein is well suited for a regional analysis of multiple microglia within an entire photomicrograph or region of interest (ROI) whereas FracLac provides a complementary individual cell analysis. Combined, the protocol provides an objective, sensitive, and comprehensive assessment tool that can be used to stratify between diverse microglia morphologies present in the healthy and injured brain.
AB - Microglia are brain phagocytes that participate in brain homeostasis and continuously survey their environment for dysfunction, injury, and disease. As the first responders, microglia have important functions to mitigate neuron and glia dysfunction, and in this process, they undergo a broad range of morphologic changes. Microglia morphologies can be categorized descriptively or, alternatively, can be quantified as a continuous variable for parameters such as cell ramification, complexity, and shape. While methods for quantifying microglia are applied to single cells, few techniques apply to multiple microglia in an entire photomicrograph. The purpose of this method is to quantify multiple and single cells using readily available ImageJ protocols. This protocol is a summary of the steps and ImageJ plugins recommended to convert fluorescence and bright-field photomicrographs into representative binary and skeletonized images and to analyze them using software plugins AnalyzeSkeleton (2D/3D) and FracLac for morphology data collection. The outputs of these plugins summarize cell morphology in terms of process endpoints, junctions, and length as well as complexity, cell shape, and size descriptors. The skeleton analysis protocol described herein is well suited for a regional analysis of multiple microglia within an entire photomicrograph or region of interest (ROI) whereas FracLac provides a complementary individual cell analysis. Combined, the protocol provides an objective, sensitive, and comprehensive assessment tool that can be used to stratify between diverse microglia morphologies present in the healthy and injured brain.
KW - AnalyzeSkeleton
KW - Cell morphology
KW - FracLac
KW - Immunohistochemistry
KW - Issue 136
KW - Microglia
KW - Neuroscience
KW - Quantitative analysis
UR - http://www.scopus.com/inward/record.url?scp=85049844754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049844754&partnerID=8YFLogxK
U2 - 10.3791/57648
DO - 10.3791/57648
M3 - Article
C2 - 29939190
AN - SCOPUS:85049844754
SN - 1940-087X
VL - 2018
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 136
M1 - e57648
ER -