Feature-Based Registration of Serial Histological Sections
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Solution Overview
Problem
Current methods for quantitative analysis of 3D structural properties of tissues from 2D histological sections are labor-intensive and time-consuming, particularly due to the challenges of image registration and manual counting processes in stereology, which hinder efficient screening and routine analysis.
Innovation Solution
A method and system for obtaining and analyzing image pairs from adjacent sections of a specimen, involving superimage acquisition, image registration, and automated counting of corresponding image fields, allowing for efficient registration and offline quantification of counting events, thereby reducing the need for manual registration and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual image registration and counting processes are used in stereology, then measurement precision of 3D structural properties is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical operations (physical section handling, manual counting) with automated digital image processing systems. Software algorithms automatically register serial sections, identify structures, and perform quantification, eliminating the need for manual manipulation while maintaining measurement accuracy through computational methods.
Solution Approach 2:
The patent creates digital copies of physical tissue sections through high-resolution scanning. These digital replicas allow for repeated analysis without physical handling, enable automated processing, and preserve the original samples while generating multiple analytical outputs from the same source material.
2Productivity
If automated image processing is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent develops integrated software systems that perform multiple functions within a single platform: image acquisition, automatic registration of serial sections, structure identification, quantification, and data analysis. This multi-functionality reduces the need for separate specialized tools and simplifies the overall workflow despite the advanced capabilities.
Solution Approach 2:
The automated image processing system incorporates self-calibration and self-registration capabilities. The software automatically identifies corresponding structures across serial sections, performs alignment without manual intervention, and adjusts parameters based on image characteristics, reducing the need for complex user configuration and expert operation.
3Loss of time
If digital image processing is used instead of manual methods, then loss of time is reduced, but ease of operation may worsen due to technical complexity
Solution Approach 1:
The system performs preliminary automated processing steps including image registration, enhancement, and structure identification before user analysis. By pre-processing images with automatic algorithms, the system reduces the time users would spend on manual alignment and initial assessment, allowing researchers to focus only on interpretation and validation.
Data Source
AI summary
The present invention relates to a method and a system for obtaining and analysing image pairs, obtained as sections of specimen. The invention facilitates registration of two corresponding images, one from each section of the specimen. The invention includes performing a registration process of the two images thereby obtaining a mathematical transformation rule and afterwards using said transformation rule for each image field identified in one image allowing that the corresponding image field in the other image may be identified as well. After the corresponding image pairs have been obtained using the method of the present invention, the sections can be assessed, such as by identifying the counting events for at least one type of object on the image fields within at least one corresponding image pair, optionally using automatic means.