Fluorescence Image Dynamic Range Conversion for Microscope Display
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Solution Overview
Problem
Fluorescence images often have a wider dynamic range than bright-field illumination images, making uniform luminance display challenging, which can result in essential signals being difficult to recognize in certain areas.
Innovation Solution
An information processing method that divides fluorescence images into regions, associates each region with a predetermined pixel value range, and converts pixel values based on representative values to optimize display within a specific observation range, adjustable according to microscope magnification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If uniform luminance display is performed on entire fluorescence image, then display uniformity is improved, but signal recognition capability deteriorates in certain areas
Solution Approach 1:
The fluorescence image is divided into multiple unit regions, and each region is processed independently by selecting appropriate pixel value ranges and representative values. This segmentation allows different regions with different dynamic ranges to be displayed optimally without compromising either uniformity or signal recognition capability.
Solution Approach 2:
Each unit region is assigned its own pixel value range and representative value based on its specific characteristics. This local quality approach ensures that each region is displayed with appropriate contrast and brightness, improving both display uniformity across the entire image and signal recognition capability within each region.
2Loss of information
If fluorescence image is displayed with wide dynamic range, then signal detail is improved, but display uniformity deteriorates
Solution Approach 1:
By segmenting the image into unit regions, each region can maintain its full dynamic range and signal detail while the overall display achieves uniformity through coordinated processing of all regions.
Solution Approach 2:
The pixel value ranges and representative values are dynamically adjusted for each unit region based on its statistical characteristics. This parameter change allows each region to be optimized for signal detail while maintaining compatibility with uniform display requirements across the entire image.
3Device complexity
If entire fluorescence image is processed as single region, then processing simplicity is improved, but display appropriateness deteriorates
Solution Approach 1:
The image is segmented into unit regions that can be processed independently. This segmentation increases processing complexity slightly but dramatically improves display appropriateness by allowing each region to be optimized for its specific characteristics.
Solution Approach 2:
Instead of processing the entire image as one region, the method applies processing to partial regions (unit regions) with appropriate pixel value ranges. This partial action approach ensures display appropriateness while keeping the overall processing complexity manageable through automated region selection.
Data Source
AI summary
There are provided an information processing method, an information processing device, and a program capable of displaying an image in a more appropriate dynamic range.The information processing method includes: a storage step of storing first image data of a unit region image, a unit region being each region obtained by dividing a fluorescence image into a plurality of regions, and a first value indicating a predetermined pixel value range for each piece of the first image data in association with each other; and a conversion step of converting a pixel value of a combination image of a combination of the unit region images that have been selected on the basis of a representative value selected from among the first values associated with the unit region images of the combination of the unit region images that have been selected.