Microscopic Image Recognition System for Protein Molecule Detection
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Solution Overview
Problem
Current microscopic imaging techniques, such as fluorescent immuno-staining and spectral analysis, are limited in observing dynamic cell behavior and are costly, making it difficult to effectively analyze cell motility and protein-based molecules like actin filaments without clear structural images.
Innovation Solution
A microscopic image recognition system utilizing computer vision technology, including an image capturing unit, monomer tracking module, and texture mask, captures and processes images to form clear recognition images by filtering noise and performing two-dimensional masking to enhance image clarity and dynamic observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluorescent immuno-staining technique is used to observe cytoskeleton, then the distribution and pattern of actin filaments can be visualized, but the cells must be fixed which prevents observation during cell movement and the structure is not clear enough
Solution Approach 1:
The patent replaces the mechanical/chemical staining process with a computational image processing system. The texture mask module uses digital filtering and processing to enhance cytoskeleton images without requiring physical fixation or chemical staining, thereby enabling dynamic observation while maintaining or improving image clarity.
2Ease of manufacture
If spectral analysis is used to locate cancer cells, then chemical staining is avoided, but the equipment required is expensive
Solution Approach 1:
The patent creates a computational copy of the staining process through image processing algorithms. Instead of using expensive spectral analysis equipment, the system digitally processes standard microscopic images to extract cytoskeleton information, effectively copying the functional outcome of complex equipment using simpler, more affordable computational methods.
3Measurement precision
If cells are fixed for staining, then the distribution and pattern of actin filaments can be stained, but observation during cell movement is not possible
Solution Approach 1:
The patent substitutes the fixation-staining mechanism with real-time image processing. By using the texture mask module to digitally enhance images of living, moving cells, the system eliminates the need for fixation while maintaining the ability to visualize actin filament distribution and patterns dynamically.
Data Source
AI summary
A microscopic image recognition system for detecting a protein-based molecule by presenting a recognition image is provided. The protein-based molecule has a state of a monomer. The microscopic image recognition system includes an image capturing unit, a monomer tracking module and a texture mask. The image capturing unit is configured to capture an original image of the protein-based molecule. The monomer tracking module is configured to capture a monomer image from the original image based on a predetermined size and a predetermined brightness. The predetermined size and the predetermined brightness correspond to the monomer. The texture mask is configured to perform a two-dimensional masking process on the monomer image to form at least two texture images. The recognition image is formed by superimposing the at least two texture images. A microscopic image recognition method is also provided.