Imaging Optical Path Contaminant Detection and Cleaning
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Solution Overview
Problem
Imaging quality is compromised when contaminants lodge in critical locations within imaging devices, requiring manual detection and cleaning which can be challenging without immediate operator availability.
Innovation Solution
A system and method that utilize an imaging device and a computing device to detect contaminants within the optical path by analyzing slide images and execute a contaminant cleaning protocol, including re-evaluation and user input requests as necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual detection and cleaning of contaminants is performed, then imaging quality is maintained, but operator availability and response time are required
Solution Approach 1:
The system performs self-diagnosis by automatically detecting contaminants in the optical path using image capture and analysis capabilities, eliminating the need for operator intervention. The computing device autonomously determines contaminant presence indicators and triggers cleaning protocols without human availability.
Solution Approach 2:
The system implements a feedback loop where the imaging device continuously monitors for contaminants, the computing device analyzes the captured images to determine contaminant presence, and the system automatically executes cleaning protocols based on the analysis results. This closed-loop feedback mechanism maintains imaging quality autonomously.
2Extent of automation
If automated contaminant detection and cleaning is implemented, then operator availability is reduced, but system complexity increases
Solution Approach 1:
The imaging device serves multiple functions: it captures images of slides for diagnostic purposes and simultaneously captures images to detect contaminants in the optical path. The computing device performs both slide image analysis and contaminant detection, reducing the need for separate dedicated systems.
Solution Approach 2:
The computing device acts as an intermediary that processes image data from the imaging device, determines contaminant presence indicators through image analysis, and controls the cleaning mechanism. This intermediary layer manages the complexity by centralizing the decision-making logic.
3Speed
If real-time contaminant detection is performed, then response time is improved, but imaging process disruption increases
Solution Approach 1:
The system performs preliminary contaminant detection by analyzing images captured during normal slide imaging operations. Contaminants are identified before they significantly degrade imaging quality, allowing proactive cleaning execution that prevents rather than reacts to quality issues.
Solution Approach 2:
The imaging device continues to capture slide images for diagnostic purposes while simultaneously performing contaminant detection on the same images. This dual-purpose approach maintains the imaging process continuity without requiring separate detection operations that would interrupt workflow.
4Productivity
If automated cleaning protocols are executed, then contaminant removal efficiency is improved, but risk of false positives increases
Solution Approach 1:
The system executes a re-evaluation process where the contaminant presence indicator is assessed again after cleaning execution. This partial additional action verifies whether the contaminant was actually present and removed, reducing false positive cleaning executions while maintaining overall efficiency.
Solution Approach 2:
The system implements feedback verification by re-evaluating the contaminant presence indicator after cleaning execution. If the indicator remains positive after cleaning, the system requests user input to verify whether cleaning should be executed again, preventing unnecessary repeated cleaning cycles.
Data Source
AI summary
A system for detecting and cleaning contaminants from an imaging optical path, comprising an imaging device configured to receive a slide and capture a first slide image, at least a computing device configured to determine a contaminant presence indicator associated with a contaminant within an optical path of the imaging device based on the first slide image and execute a contaminant cleaning protocol as a function of the contaminant presence indicator, a contaminant removal mechanism configured to remove the contaminant from the optical path according to the contaminant cleaning protocol, wherein the computing device is further configured to re-evaluate the contaminant presence indicator based on a second slide image of the slide captured using the imaging device and request a user input upon a positive re-evaluation of the contaminant presence indicator.


