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Quantification of structural changes in acute inflammation by fractal dimension, angular second moment and
Marija Stankovic1, Igor Pantic2, Silvio R De Luka1
1Department of Pathophysiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Journal of Microscopy
|October 27, 2015
Summary
Fractal dimension, angular second moment, and correlation decreased in acutely inflamed mouse tissue, indicating reduced complexity and regularity. These image analysis methods show promise for quantifying acute inflammation structural changes.
Area of Science:
- Biomedical Engineering
- Histopathology
- Image Analysis
Background:
- Acute inflammation involves complex structural changes in tissues.
- Quantifying these changes is crucial for understanding disease progression and treatment efficacy.
- Traditional histological assessment can be subjective and time-consuming.
Purpose of the Study:
- To investigate the utility of fractal dimension, angular second moment, and correlation for quantifying structural alterations in acutely inflamed tissue.
- To assess the potential of these image analysis parameters as objective measures of inflammation.
Main Methods:
- Acute inflammation was induced in mouse hind limb muscles using turpentine oil.
- Control animals received saline injections.
- Muscle tissues were collected after 12 hours, stained with hematoxylin and eosin, and digitized.
- Fractal dimension of cells, angular second moment, and correlation were calculated from digital micrographs.
Main Results:
- Histopathological analysis confirmed inflammatory infiltrate and tissue damage in the turpentine-induced group, while control tissues remained preserved.
- A significant decrease in fractal dimension of cells, angular second moment, and correlation was observed in inflamed tissues compared to controls.
- These reductions indicate a loss of cellular complexity, tissue uniformity, and structural regularity in acute inflammation.
Conclusions:
- Fractal dimension, angular second moment, and correlation are reduced in acutely inflamed tissues.
- These parameters offer a quantitative approach to assess structural changes during acute inflammation.
- The findings suggest these image analysis techniques could serve as valuable tools for objective quantification in histopathology.
