Automated Tissue Microdissection With Stained-Slide ROI Registration
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Solution Overview
Problem
Existing methods for extracting tissue from slides are inefficient and lack precision, particularly in targeting specific regions of interest, which hinders downstream molecular analysis.
Innovation Solution
An apparatus and method utilizing advanced image processing and machine learning algorithms to identify and segment regions of interest on stained slides, register them onto unstained slides, and extract targeted tissue regions using mechanical systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated microdissection is implemented, then productivity and precision of tissue extraction are improved, but device complexity increases
Solution Approach 1:
The system segments the tissue extraction process into distinct automated stages: image acquisition of the stained slide, AI-based identification and segmentation of regions of interest, registration mapping to the unstained slide, and robotic microdissection execution. This segmentation enables high-throughput processing while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary registration map that bridges the stained slide (used for ROI identification) and the unstained slide (from which tissue is harvested). This intermediary data structure enables precise transfer of ROI coordinates without requiring direct complex interaction between the two slides, simplifying the overall system integration.
2Manufacturing precision
If AI-based region identification is used, then manufacturing precision of tissue selection is improved, but loss of time in processing increases
Solution Approach 1:
The system performs preliminary action by pre-processing and enhancing the stained slide image before AI analysis, and by preparing the registration map in advance. The AI model is trained beforehand on extensive datasets, enabling rapid inference during actual tissue extraction. This preliminary preparation reduces real-time processing delays while maintaining high segmentation accuracy.
Data Source
AI summary
An apparatus and method for automated microdissection of tissue from slides to optimize tissue harvest from regions of interest are disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a stained input slide, identify a region of interest on the stained input slide, generate a segmentation map of the region of interest as a function of a segmentation algorithm, register a segmented region of interest, as a function of the segmentation map, onto an unstained slide, wherein registering the segmented region of interest includes determining an orientation of the unstained slide corresponding to the segmented region of interest of the stained input slide, recording the orientation of the unstained slide relative to a reference plane, and registering the segmented region of interest to the unstained slide.