Digital Slide Scanner Modeling Speed via Line-Parallel Processing
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Solution Overview
Problem
Existing digital slide scanners face a trade-off between image quality and scanning speed, as increasing the number of modeling points for better image quality decreases scanning speed, and errors in focusing plane positions during scanning can lead to reduced image quality and require high precision in stage motion.
Innovation Solution
The method involves scanning and modeling in units of scanning lines, where focusing plane positions are determined during line feeding and returning, allowing parallel processing of modeling and scanning, and using flexible modeling methods like piecewise linear fitting or triangular patch methods to improve image quality without reducing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of modeling points is increased to improve image quality, then image quality is improved, but modeling speed decreases
Solution Approach 1:
The patent performs preliminary modeling calculations during the line feeding and returning time before actual scanning imaging begins. By completing the modeling work in advance during idle time, the system can use more modeling points to improve image quality without extending the actual scanning time, thus resolving the contradiction between modeling precision and productivity
Solution Approach 2:
The patent dynamically adjusts the modeling process by dividing it into different phases: during line feeding/returning, modeling calculations are performed; during scanning imaging, the pre-modeled data is applied. This dynamic time allocation allows the system to maintain high modeling speed while using sufficient modeling points for image quality
2Productivity
If focusing plane positions are calculated before scanning, then scanning speed increases, but stage motion precision requirements increase
Solution Approach 1:
The patent segments the scanning process into multiple lines, performing modeling and imaging line by line. This segmentation allows the system to recalculate or adjust focusing plane positions for each line during the feeding/returning phase, reducing the impact of stage motion errors on overall image quality while maintaining scanning speed
Solution Approach 2:
The patent implements a feedback mechanism where modeling is continuously performed during line feeding based on actual stage positions, and this modeled data is then applied during scanning imaging. This real-time feedback loop compensates for stage motion errors, allowing high scanning speed without requiring extremely high stage precision
3Manufacturing precision
If traditional single frame image focusing optimization is used, then image quality is improved, but scanning speed decreases
Solution Approach 1:
The patent merges the modeling function with the line feeding and returning process. Instead of treating modeling and scanning as separate sequential operations, the system combines them by performing modeling during the idle feeding/returning time and applying results during scanning, thus achieving both high image quality and scanning speed
Data Source
AI summary
The invention disclosures a method for improving modeling speed of digital slide scanner, relates to the technical field of microscopes, the modeling speed is slow for image quality; and the focusing plane positions of the modeling points in modeling and in scanning imaging are different, which causes decrease of image quality, that is the question that higher requirement on motion repetition precision of the stage. The invention adopts modeling and scanning imaging in units of scanning lines, modeling and scanning the current line and modeling and scanning imaging the next line thereafter, wherein the modeling of the next line takes advantage of the time from the end of the current line to line feeding and returning to the beginning of the next line, during which the modeling is completed, which may parallel the modeling time with scanning and line feeding process, and effectively reduce the equivalent modeling time.