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Related Experiment Video

Updated: May 19, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

Bone histomorphometry using free and commonly available software.

Kevin P Egan¹, Tracy A Brennan, Robert J Pignolo

¹Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

|August 14, 2012

Summary

This summary is machine-generated.

This study presents an affordable histomorphometry method using free software like Image J and Adobe Photoshop. This technique accurately measures bone parameters, proving comparable to expensive commercial programs.

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Area of Science:

Biomedical research
Tissue analysis
Histology

Background:

Histomorphometric analysis is crucial for evaluating tissue structure and function.
Costly commercial software limits accessibility for many researchers.
Need for affordable and accurate histomorphometry tools is evident.

Purpose of the Study:

To compare an inexpensive histomorphometry method with a proprietary software program.
To validate the accuracy of free software for histomorphometric measurements.
To offer an accessible alternative for tissue analysis.

Main Methods:

Utilized Image J and Adobe Photoshop for measurements.
Generated black-and-white image masks from stained femur photomicrographs.
Quantified static and kinetic bone histomorphometric parameters.

Main Results:

Statistically non-significant differences were found between Image J and proprietary software.
Accurate measurement of bone volume, tissue volume, osteoid volume, mineralizing surface, and interlabel width was achieved.
The free software approach yielded comparable results to commercial options.

Conclusions:

An affordable and validated histomorphometry approach using free software is presented.
This method provides accurate measurements comparable to costly commercial software.
Accessible tools enhance the application of histomorphometric analysis across diverse research areas.