Panoramic Muscle Fiber Counting for Accurate Whole-Slide Statistics
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Solution Overview
Problem
Existing methods for determining muscle fiber density in muscle tissue rely on limited fields of view, leading to inaccurate estimation of the total number of fibers due to statistical representativeness issues.
Innovation Solution
A method involving panoramic scanning of muscle tissue slides to obtain panoramic digital slides, followed by segmentation and counting of muscle fibers in multiple images to determine the total number of fibers, using a panoramic scanner and image statistical software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical microscope method with limited fields of view is used, then operation complexity is reduced, but measurement precision of total fiber number deteriorates
Solution Approach 1:
The panoramic digital slide is segmented into multiple sub-images (N images) along the space of muscle fiber bundles. Each sub-image is then analyzed separately to count muscle fibers, and the results are summed to obtain the total fiber number. This segmentation approach enables comprehensive coverage of the entire muscle tissue section while maintaining manageable processing of individual regions.
2Measurement precision
If panoramic scanning is implemented, then measurement precision of total fiber number is improved, but productivity of analysis deteriorates
Solution Approach 1:
The muscle tissue slide is first panoramically scanned to obtain a complete panoramic digital slide before any fiber counting analysis. This preliminary panoramic acquisition ensures that all muscle fibers in the entire tissue section are captured in a single comprehensive image, eliminating the need for multiple separate acquisitions and subsequent alignment procedures, thereby improving overall analysis efficiency.
Solution Approach 2:
The panoramic digital slide is segmented into N sub-images along the space of muscle fiber bundles. This segmentation allows parallel processing of multiple regions simultaneously, reducing the computational burden on single images and enabling more efficient fiber counting across the entire tissue section.
3Reliability
If limited fields of view are used for statistical analysis, then device complexity is reduced, but reliability of fiber density estimation deteriorates
Solution Approach 1:
The panoramic digital slide is segmented into N sub-images along the space of muscle fiber bundles, ensuring that each segment contains representative muscle tissue structures. This segmentation allows comprehensive sampling of the entire muscle tissue section, providing reliable statistical data for fiber density estimation while maintaining systematic analysis of different regions.
Data Source
AI summary
A method for determining a total number of fibers in a muscle tissue based on panoramic scanning is described. A muscle tissue slide is panoramically scanned to obtain a panoramic digital slide using a panoramic scanner, and the panoramic digital slide obtained is segmented, counted and summed to realize the statistical effect on the total number of fibers in the muscle tissue; compared with dependence on an optical microscope, 5-10 fields of view of an image are represented as histological characteristics of the muscle fiber of an biological individual, and further compared with a method using a product of average muscle fiber density and muscle slide area as an estimated value of the total number of fibers of the slide, the present disclosure can realize full-field statistics of the muscle tissue, with a smaller error and a more accurate result.