Multi-Image Tissue View Alignment for Reproducible FOV Selection
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Solution Overview
Problem
The manual selection of fields of view (FOVs) in immunoscore computations is highly subjective and biased, leading to non-reproducible results, and the use of low-resolution images for FOV selection reduces computational efficiency.
Innovation Solution
An image processing system that simultaneously displays multiple images of a biological tissue region, allowing for dynamic adjustments such as translation, rotation, and magnification, using affine transformations and preprocessing techniques to identify and merge candidate FOVs, reducing subjectivity and improving reproducibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection of fields of view is used, then reader expertise can be applied, but subjectivity and bias increase leading to non-reproducible results
Solution Approach 1:
The system automatically selects fields of view by processing the entire slide image to identify regions containing target objects, eliminating the need for manual reader selection. The automated algorithm independently performs the selection based on predefined criteria, ensuring consistency and reproducibility across different analyses.
Solution Approach 2:
The patent replaces the manual mechanical process of reader selection with an automated computational algorithm. The system uses image processing techniques to automatically identify and select fields of view, substituting human expertise with a reproducible computational method that eliminates subjectivity.
2Productivity
If high-resolution images are used for FOV selection, then image quality is maintained, but computational efficiency decreases
Solution Approach 1:
The system segments the entire slide image into multiple smaller fields of view and processes each segment independently. This allows the system to maintain high image quality for analysis while improving computational efficiency by processing smaller image portions rather than the entire high-resolution slide at once.
Solution Approach 2:
The system performs preliminary processing by first identifying and selecting candidate fields of view from the entire slide image, then processes only these selected regions in detail. This preliminary action filters out unnecessary areas, reducing the computational load while maintaining focus on relevant high-quality image regions.
Data Source
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AI summary
A system and method of displaying of multiple simultaneous views of a same region of a biological tissue sample. Logical instructions are executed by a processor to perform operations such as receiving a plurality of images of the biological tissue sample, converting the plurality of images to a common reference frame based on the individual metadata of each image, and arranging the plurality of images into a display pattern for simultaneous viewing of different aspects of the imaged biological tissue sample on a display screen. The plurality of images is produced by preprocessing images of the biological tissue sample. Each image shows a view mode of a same region of the biological tissue sample, and each image contains metadata that describe spatial orientation, such as the translation, rotation, and magnification, of the image to bring the plurality of images to a common view.