Spectroscopy System Light Source Identification
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Solution Overview
Problem
Current spectroscopic methods for identifying tissue types during surgical procedures face challenges due to the varying spectroscopic responses of different light sources, which can lead to inaccurate tissue identification if the light source used is not correctly identified.
Innovation Solution
A system and method that identifies the type of light source used for spectroscopic analysis by analyzing reflected light from a white surface or ambient reflection, allowing for the determination of the correct spectroscopic analysis to be performed, utilizing a library of information accessible via the cloud and artificial intelligence to adjust light generation settings for accurate tissue identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different types of light sources are used with the same medical instrument, then the versatility of the instrument is improved, but the accuracy of spectral analysis of target tissue deteriorates
Solution Approach 1:
The system performs preliminary identification of the light source type using spectroscopy before conducting tissue analysis. This preliminary action determines which reference spectral library to use, ensuring that subsequent tissue spectral analysis is performed with the correct reference data for accurate comparison and identification.
Solution Approach 2:
The patent introduces an intermediary light source identification step that acts as a mediator between the light source and tissue analysis. By first identifying the light source characteristics and selecting appropriate reference spectral data, the system bridges the gap between different light sources and tissue analysis requirements, maintaining accuracy across multiple light source types.
2Device complexity
If spectral analysis is performed without identifying the light source type, then the analysis process is simplified, but the reliability of tissue identification deteriorates
Solution Approach 1:
The system automatically performs preliminary light source identification before tissue analysis without requiring manual intervention. This preliminary spectroscopic characterization of the light source is integrated into the workflow, ensuring reliable tissue identification while maintaining process efficiency through automation.
Solution Approach 2:
The system performs self-characterization of the light source by analyzing its spectral output. This self-service approach allows the system to automatically determine light source properties and select appropriate reference data without external input, ensuring reliable tissue identification while keeping the process streamlined.
3Loss of time
If spectroscopic analysis is performed with unknown light source characteristics, then the procedure is faster, but the measurement precision of tissue composition deteriorates
Solution Approach 1:
The system performs rapid preliminary spectroscopic identification of the light source characteristics before proceeding to tissue analysis. This quick preliminary step characterizes the light source and selects the appropriate reference spectral library, enabling precise tissue composition measurement without significant time loss.
Solution Approach 2:
The system dynamically adapts the spectral analysis parameters and reference data selection based on the identified light source characteristics. This dynamic adjustment ensures that the measurement precision is optimized for each specific light source type while minimizing the time required for the adaptation process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures accurate identification of tissue types by correctly matching the light source with the appropriate spectroscopic analysis, optimizing treatment outcomes and preventing damage to tissues or equipment.
Implementation Method 1
performing spectroscopic analysis of the received signal
Implementation Method 2
receiving a signal from a target after the target is illuminated by the illumination light source
Data Source
AI summary
A method of identifying an illumination light source in a surgical system comprises steps of receiving a signal from a target after the target is illuminated by the illumination light source, performing spectroscopic analysis of the received signal, and based at least in part on the spectroscopic analysis, determining a characteristic of the illumination light source. A method of treating a target comprises receiving a signal from the target after the target is illuminated by an illumination light source, performing spectroscopic analysis of the received signal, based at least in part on the spectroscopic analysis, determining a first characteristic of the illumination light source and a second characteristic of the target, and based at least in part on the determined characteristics of the illumination light source and the target, operating a surgical system to treat the target.