Fluorescence Image Selection for Rapid Tissue Marker Diffusion
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Solution Overview
Problem
Existing fluorescence imaging methods burden practitioners with unnecessary images showing little change and miss rapid evolution in the diffusion of markers in biological tissues, lacking efficient image selection based on spatial distribution changes.
Innovation Solution
A method and device that automatically selects and displays fluorescence images based on significant spatial distribution changes, using a camera to capture and process images, and circuitry to suppress unnecessary displays, focusing on areas with substantial marker diffusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all fluorescence images are displayed to show complete temporal evolution, then no information is lost, but the practitioner is burdened with unnecessary images showing little change
Solution Approach 1:
The patent extracts only the essential information from the complete image sequence by identifying and displaying only those images where the fluorescent marker distribution has changed significantly compared to previous images. This extraction process filters out redundant images while preserving critical temporal evolution data, thereby reducing practitioner workload without losing important information.
Solution Approach 2:
The system continuously compares each new fluorescence image with previous images to determine whether significant changes have occurred. This feedback mechanism automatically controls which images are displayed, creating an adaptive system that responds to actual changes in marker distribution rather than displaying all images uniformly.
2Device complexity
If images are displayed at fixed time intervals, then the monitoring process is simple, but rapid evolution in marker diffusion may be missed
Solution Approach 1:
The patent transitions from static, fixed-time-interval image display to a dynamic system that adjusts display timing based on actual changes in marker diffusion. The system automatically increases temporal resolution when rapid evolution is detected and can maintain simpler intervals when changes are gradual, thereby capturing rapid evolution without overly complicating the monitoring process.
Solution Approach 2:
The system uses feedback from image comparison to dynamically adjust the display timing. When significant changes are detected between consecutive images, the system triggers display of the current image immediately, ensuring rapid evolution is captured. This feedback-driven timing adapts to the actual dynamics of marker diffusion better than fixed intervals.
3Quantity of substance
If images showing little change are displayed, then complete temporal data is provided, but the practitioner is burdened with unnecessary images
Solution Approach 1:
The patent extracts and displays only the subset of images that contain meaningful information about marker diffusion evolution. By comparing each image with previous ones and selecting only those with significant changes, the system reduces the quantity of displayed images from potentially hundreds to a manageable number, thereby reducing practitioner workload while maintaining informational completeness.
4Loss of information
If all images are processed and displayed, then complete spatial distribution data is captured, but the system becomes complex
Solution Approach 1:
The patent extracts only the spatial distribution information that has actually changed between time points. Instead of processing all images uniformly, the system compares consecutive images and processes only those that show significant spatial changes, thereby reducing processing complexity while maintaining complete and accurate spatial distribution data for the critical moments.
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
Enhances the display of images with significant marker distribution changes, reducing unnecessary images and capturing rapid evolution, allowing for precise monitoring of marker diffusion in biological tissues.
Implementation Method 1
monitoring the diffusion of a fluorescent marker within a biological tissue
Data Source
AI summary
A method for monitoring diffusion of a fluorescent marker within a region of biological tissue includes observing the marker's diffusion in a series of images captured by a camera and determining whether to display an image based at least in part on the evolution of the marker's spatial distribution as it perfuses through the tissue.