Slide Marking for Precise Tissue Extraction
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Solution Overview
Problem
Current techniques for harvesting disease tissues, particularly tumor tissues from slides, face challenges in achieving precision, leading to inaccuracies in tissue extraction, which compromises the quality and quantity of genetic material and can result in inconclusive or erroneous results.
Innovation Solution
A system and method for slide marking that uses a marking device and computing device to image unstained surfaces of stained slides, determine geometric registration, and apply an annotation mask to accurately mark regions of interest, ensuring precise targeting and reducing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current manual or conventional tissue harvesting techniques are used, then the process is simple and quick, but the precision and accuracy of tissue targeting is poor
Solution Approach 1:
The patent uses a marking device to create a physical mark on the tissue slide that copies the location information from the stained reference slide. This physical copy (mark) represents the digital annotation mask, enabling precise localization without requiring complex real-time imaging systems during harvesting.
Solution Approach 2:
The system performs preliminary actions by pre-marking the tissue locations on the slide before harvesting occurs. The marking device applies annotations based on pre-processed images and registration data, so that when harvesting begins, the tissue locations are already marked and ready for precise targeting.
2Reliability
If manual tissue extraction is performed, then the equipment required is minimal, but the consistency and reliability of tissue extraction is compromised
Solution Approach 1:
The system incorporates feedback mechanisms through image registration and annotation mask generation. The marked locations are verified through the registration process that aligns stained and unstained slide images, providing feedback that ensures the marks accurately represent the intended tissue locations before harvesting begins.
Solution Approach 2:
The patent replaces manual mechanical targeting with an automated marking system that uses image processing and registration algorithms. The marking device automatically applies annotations based on computational analysis of slide images, eliminating manual estimation and improving reliability.
3Manufacturing precision
If repetitive procedures are performed due to extraction errors, then the quality control is improved, but the time consumption and material waste increase
Solution Approach 1:
The system performs all necessary localization and marking actions in advance before tissue extraction begins. By pre-applying annotation masks and physical marks based on registered images, the system eliminates the need for repetitive procedures during or after harvesting, as the targets are already precisely identified.
4Quantity of substance
If the correct tissue location is not accurately identified, then the harvesting process is faster, but the quality and quantity of harvested genetic material is compromised
Solution Approach 1:
The marking device creates a physical copy of the tissue location information through annotation marks on the slide. This physical copy preserves the precise location data from the stained reference slide, ensuring that the correct tissue can be reliably identified and harvested with high accuracy.
Solution Approach 2:
The annotation mask and physical mark serve as intermediary elements that mediate between the digital image data and the physical tissue harvesting process. These intermediaries translate computational location data into tangible markers that guide precise tissue extraction.
Data Source
AI summary
A system for slide marking technique for target tissue extraction and downstream application includes at least a marking device configured to receive a sample associated with a stained slide, to image an unstained surface of the sample associated with the stained slide, and to mark a region of interest on the sample. The system includes at least a computing device comprising at least a processor and a memory, the computing device configured to receive a stained slide image, the computing device configured to receive the image of the unstained surface of the sample, the computing device configured to determine a geometric registration of the unstained surface of the sample to the stained slide image, wherein determining the geometric registration comprises aligning the stained slide image with the image of the unstained surface, the computing device configured to determine the annotation mask as a function of the geometric registration.