Automated Tissue Sectioning with Sensor Feedback for Cut Quality
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Solution Overview
Problem
Traditional microtomy is a time-consuming and delicate process, and poor cut quality of tissue sections can slow down intra-operative applications in anatomic pathology, necessitating an automated system to predict and address the sources of poor cut quality.
Innovation Solution
An automated sectioning system with sensors to monitor the dynamics of the chuck and cutting assembly, providing real-time feedback to adjust operational parameters, suspend operations, or alert users to issues, thereby maintaining cut quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated sectioning is implemented to increase productivity, then the output of tissue sections per unit time is improved, but the complexity of the system increases due to added sensors and control mechanisms
Solution Approach 1:
The patent implements feedback by using sensors to monitor cutting dynamics and comparing the data to baseline values. When deviations are detected, the system automatically adjusts cutting parameters or alerts operators, creating a closed-loop control system that maintains quality while enabling automation
Solution Approach 2:
The system performs self-diagnosis and self-adjustment by automatically comparing sensor data to baseline values and making corrections without human intervention. This allows the automated system to maintain itself, reducing the operational burden despite increased complexity
2Manufacturing precision
If manual monitoring of cut quality is performed to ensure precision, then the manufacturing precision of tissue sections is improved, but the time consumption increases
Solution Approach 1:
The patent replaces manual visual inspection with automated sensor-based monitoring. Sensors detect cutting dynamics and the control system analyzes data to determine cut quality, substituting human sensory and cognitive processes with automated detection and analysis systems
Solution Approach 2:
Real-time feedback from sensors allows immediate detection of quality issues during sectioning. The system compares current cutting parameters against baseline values and provides instant alerts or adjustments, enabling continuous quality assurance without time-consuming post-processing inspection
3Reliability
If automated adjustment of operational parameters is implemented to maintain cut quality, then the reliability of sectioning process is improved, but the device complexity increases
Solution Approach 1:
The control system continuously monitors cutting dynamics through sensors and compares data to baseline values. When deviations are detected, the system automatically adjusts operational parameters or alerts operators, creating a reliable feedback loop that maintains consistent cut quality
Solution Approach 2:
The system maintains reliability by dynamically adjusting operational parameters based on real-time sensor data. When cutting conditions deviate from baselines, the control system modifies parameters such as cutting speed or blade position to compensate and maintain quality
Data Source
AI summary
A sectioning system includes a chuck assembly configured to receive a tissue block, a cutting assembly configured to remove a tissue section from the tissue block, at least one sensor configured to sense data regarding dynamics of one or more components of at least one of the chuck assembly or the cutting assembly, and a control system. The control system is configured to receive data from the at least one sensor, determine whether the data from the at least one sensor shows normal behavior of the one or more components of at least one of the chuck assembly or the cutting assembly, and output a signal if it is determined the data from the at least one sensor does not show normal behavior of the one or more components.