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Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
Published on: April 8, 2015
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Automated bone healing evaluation: New approach to histomorphometric analysis.
Camila Rodrigues Borges Linhares1, Gustavo Davi Rabelo2, Pedro Henrique Justino Oliveira Limirio1
1Dentistry Department, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Microscopy Research and Technique
|June 27, 2022
Summary
A new automatic method for evaluating bone healing in histological images significantly reduces analysis time. This approach, tested on diabetic rats receiving hyperbaric oxygen therapy, proved accurate and efficient compared to traditional methods.
Area of Science:
- Regenerative Medicine
- Biomedical Engineering
- Histology and Pathology
Background:
- Evaluating bone healing histologically is crucial for assessing therapeutic interventions.
- Traditional methods like histomorphometry can be time-consuming and subjective.
- Diabetes mellitus complicates bone healing, necessitating reliable evaluation techniques.
Purpose of the Study:
- To compare different histological evaluation methods for bone healing.
- To introduce and validate a novel, automated image analysis method for bone matrix quantification.
- To assess the effect of hyperbaric oxygen therapy (HBO) on bone repair in diabetic rats.
Main Methods:
- Induction of type 1 diabetes mellitus in rats using streptozotocin.
- Creation of bone defects in femurs, followed by hyperbaric oxygen therapy (HBO).
- Histological analysis using conventional histomorphometry, semi-automatic segmentation, and a new automatic ImageJ plug-in.
Main Results:
- All three histological evaluation methods (conventional, semi-automatic, automatic) were statistically comparable in assessing bone formation.
- The novel automatic approach significantly reduced analysis time compared to visual grid and semi-automated methods (p < .01).
- Hyperbaric oxygen therapy showed potential in improving bone repair, particularly in diabetic models.
Conclusions:
- The developed automatic method provides an accurate and highly efficient tool for histological bone healing evaluation.
- This automated approach streamlines research by significantly shortening analysis duration.
- The study demonstrates the utility of advanced image analysis in regenerative medicine and bone repair research.
