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Updated: May 12, 2026

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
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Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

Basic image analysis and manipulation in ImageJ.

Sean M Hartig1

  • 1Baylor College of Medicine, Houston, Texas, USA.

Current Protocols in Molecular Biology
|April 3, 2013
PubMed
Summary
This summary is machine-generated.

This guide details quantitative image analysis for microscopy data using ImageJ software. It covers essential steps from installation to extracting information from fluorescence and bright-field microscopy images.

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Last Updated: May 12, 2026

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
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Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

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Area of Science:

  • Microscopy and Image Analysis
  • Quantitative Biology

Background:

  • Microscopy generates vast amounts of data.
  • Quantitative assessment of this data is crucial for scientific discovery.
  • Manual analysis is time-consuming and prone to error.

Purpose of the Study:

  • To provide a comprehensive guide to basic image analysis for microscopy data.
  • To outline essential ImageJ software functionalities for data processing and analysis.
  • To offer practical protocols for analyzing fluorescence and bright-field microscopy images.

Main Methods:

  • Installation and data import procedures for ImageJ.
  • Explanation of fundamental image processing functions.
  • Demonstration of analytical tools for information extraction.

Main Results:

  • Step-by-step protocols for object analysis in fluorescence images.
  • Methods for extracting information from two-color tissue images using bright-field microscopy.
  • Demonstrated quantitative assessment of microscopy data.

Conclusions:

  • ImageJ is a versatile tool for quantitative microscopy data analysis.
  • The outlined methods enable efficient extraction of meaningful information from various microscopy techniques.
  • This unit serves as a foundational resource for researchers utilizing image analysis.