Automated Slide Scanning Feedback for Targeted Image Rescans
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Solution Overview
Problem
Current scanning systems lack efficient mechanisms for identifying errors or inconsistencies in scanned images, leading to suboptimal image quality and inadequate feedback mechanisms for adjusting scanning processes.
Innovation Solution
An apparatus and method that utilizes a processor to extract a unique identifier from a slide label, retrieve user input from a database, and digitally map this input to the corresponding region on the slide, transforming it to generate corrected scanner commands for rescanning, ensuring accurate image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If current scanning systems perform automated scanning without efficient error identification mechanisms, then the scanning process is simple and fast, but the image quality becomes suboptimal and diagnostic accuracy deteriorates
Solution Approach 1:
The system implements a feedback mechanism where user inputs regarding scan errors or quality issues are captured, stored in a database, and used to generate corrective scanner commands. This closed-loop feedback enables continuous improvement of scanning quality without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary actions by pre-processing user inputs and transforming them into standardized corrective commands before actual rescanning occurs. This preparation phase includes mapping user feedback to specific scan parameters and generating ready-to-execute correction commands.
2Adaptability or versatility
If the system lacks feedback transformation capabilities to accommodate scanning system changes or image orientation changes, then the system structure remains simple, but the adaptability and reliability of feedback utilization deteriorates
Solution Approach 1:
The system transforms user inputs by adjusting parameters such as image orientation, coordinate systems, and scan parameters to match the current scanning configuration. This parameter transformation enables the feedback mechanism to adapt to different scanning systems and orientations without requiring manual reconfiguration.
Solution Approach 2:
The feedback transformation system is designed to handle multiple types of changes universally, including but not limited to orientation changes, system variations, and parameter adjustments. This universal transformation capability allows a single system to accommodate diverse scanning configurations through standardized processing.
3Reliability
If targeted rescanning operations are not initiated based on error identification, then the scanning process is fast and efficient, but the diagnostic accuracy and analytical reliability deteriorates
Solution Approach 1:
The system applies local quality improvement by generating targeted rescanning commands that focus specifically on regions or parameters identified as problematic in user feedback. Instead of re-scanning entire images, the system concentrates resources on specific areas requiring improvement, maintaining overall scanning efficiency while enhancing diagnostic accuracy.
Data Source
AI summary
An apparatus for feedback utilization in automated scanning systems, the apparatus including a scanning system and a computing device configured to extract a unique identifier from the slide label located on the at least a slide using the scanning system, retrieve a user input associated with the at least a slide, digitally map the user input to at least a corresponding region on the at least a slide generate at least one scanner command as a function of the transformed user input wherein the at least one scanner command is configured to command the scanning system to prioritize the transformed user input when rescanning the at least a slide and transmit the at least one scanner command to the scanning system to generate the at least a re-scanned image.