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Published on: February 11, 2017
Integrated method for quantitative morphometry and oxygen transport modeling in striated muscle.
Abdullah A Al-Shammari1,2, Roger W P Kissane3, Simon Holbek4
1Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford , Oxford , United Kingdom.
This study introduces a new, user-friendly tool for analyzing muscle biopsies. It quantifies tissue oxygenation by integrating imaging and mathematical modeling, improving the understanding of oxygen (O2) transport in muscle fibers.
Area of Science:
- Physiology
- Biomedical Engineering
- Quantitative Morphology
Background:
- Current methods for assessing physiological remodeling and oxygen (O2) transport in striated muscle lack resolution and breadth.
- Quantifying microcirculation supply to individual muscle fibers is a significant challenge, often relying on theoretical modeling.
- Independent development of quantitative morphometry and analytical modeling has limited diagnostic power.
Purpose of the Study:
- To develop a high-throughput method for histological analysis of muscle biopsies.
- To integrate quantitative morphometry and analytical modeling into a user-friendly package.
- To quantify tissue oxygenation and muscle phenotype from biopsy material.
Main Methods:
- Designed an integrated package for histological analysis and mathematical modeling of tissue oxygenation.
- Utilized semiautomated routines for processing digitized images of muscle biopsies.
- Employed capillary domain modeling for assessing local O2 supply and computed tissue partial pressure of O2 (Po2) distribution.
Main Results:
- Developed a semiautomated, high-throughput tool for muscle biopsy analysis.
- Successfully integrated histological data with mathematical modeling to quantify tissue oxygenation.
- Provided worked examples using rat and human muscle samples.
Conclusions:
- The presented package offers a coherent, user-friendly approach for nonspecialist investigators.
- This integrated tool enhances the ability to diagnose muscle phenotype and quantify tissue oxygenation.
- It bridges the gap between quantitative morphometry and analytical modeling for improved diagnostic power.
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