Tissue Section Extension for Crack Pattern Diagnosis
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Solution Overview
Problem
Current morbidity diagnosis methods, such as those using optical microscopes and X-ray equipment, face challenges in accurately distinguishing between benign and malignant tumors, particularly in early stages of non-alcoholic steatohepatitis and hepatocellular carcinoma, leading to unreliable diagnoses.
Innovation Solution
A morbidity diagnosis support system that includes an extension device for stretching tissue sections on a polyurethane gel sheet, an image-photographing device for capturing data, an image analysis device for calculating indices based on crack patterns, and an output device for displaying results, allowing for detailed analysis of tissue section morphology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical microscope observation methods are used, then the diagnosis process is simple and quick, but the ability to discriminate between benign and malignant tumors is insufficient
Solution Approach 1:
The tissue section is divided into multiple regions of interest (ROIs) based on crack patterns. The image analysis device segments the tissue image into different areas showing varying degrees of crack development, allowing separate analysis of early-stage and advanced-stage pathological changes in different regions
Solution Approach 2:
The invention transitions from conventional 2D optical microscopy to a dimensionally enhanced analysis by measuring crack depth and structural changes through extension-induced cracking. This adds a new dimensional parameter (crack propagation extent) to the traditional morphological assessment
2Measurement precision
If X-ray equipment with wavelet transform is used, then objective tumor indices can be calculated, but the ability to finely discriminate multiple morbidity stages before hepatocellular carcinoma is insufficient
Solution Approach 1:
The extension treatment is applied preliminarily to the tissue section before analysis to induce crack patterns that reveal early-stage pathological changes. This preliminary action makes subtle morphological differences in early NASH stages visible before they progress to hepatocellular carcinoma
Solution Approach 2:
The invention changes the physical state of the tissue section by applying extension stress, which transforms the tissue morphology and reveals crack patterns. This parameter change (applying mechanical extension) enables detection of pathological differences that are not visible in the native state
3Reliability
If tissue sections are observed without extension, then the observation process is simple, but crack patterns that indicate morbidity stage are not conspicuous
Solution Approach 1:
A gelatinous substance is introduced as an intermediary medium between the tissue section and the extension force. This intermediary allows uniform transmission of extension stress across the tissue surface while protecting the tissue from direct mechanical damage, enabling reliable crack pattern formation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enhances the reliability of morbidity diagnosis by making crack patterns more conspicuous, enabling accurate discrimination between various morbidities and supporting highly reliable diagnostic decisions.
Implementation Method 1
a stretchable sheet, and an extension device for extending the tissue section by stretching the stretchable sheet
Data Source
Figure 1
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Figure 3(A)~3(D)
AI summary
Provided are a morbidity diagnosis support system, a morbidity diagnosis data-generating system, and a morbidity diagnosis support method that are capable of supporting a highly reliable morbidity diagnosis. A morbidity diagnosis support system 1 includes an extension device 10 for extending a tissue section P of cells, an image-photographing device 30 for acquiring image data by image-photographing the tissue section P, an image analysis device 40 for analyzing the image data to calculate an index of morbidity based on a mode of cracks generated in the tissue section P by the extension, and an output device 50 for outputting the calculated index.