Dynamic Raman Signal Acquisition for Surgical Tissue Analysis
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Solution Overview
Problem
Raman spectroscopy in surgical environments faces challenges such as weak signals, detector saturation, and instability due to intense competing optical signals and limited time, requiring dynamic optimization of acquisition parameters to improve signal-to-noise ratio and minimize manual adjustments.
Innovation Solution
A dynamic Raman signal acquisition system that automatically adjusts excitation light power and acquisition time based on real-time signal processing, using a controller to optimize parameters and minimize noise interference, allowing for real-time optimization of Raman system parameters in surgical environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If long integration times are used to improve signal-to-noise ratio, then signal quality is improved, but detector saturation occurs and acquisition time is wasted
Solution Approach 1:
The patent implements dynamic adjustment of acquisition parameters based on real-time signal characteristics. The system continuously monitors the Raman signal intensity and automatically adjusts integration time and excitation power to optimize the signal-to-noise ratio without causing detector saturation, transforming a static fixed-parameter system into a dynamic adaptive one
Solution Approach 2:
The system employs feedback mechanisms where the acquired Raman signal is processed to determine optimal acquisition parameters for subsequent measurements. The controller uses signal intensity information to adjust future acquisition settings, creating a closed-loop control system that continuously optimizes performance
2Measurement precision
If high excitation light intensity is used to strengthen Raman signal, then signal strength is improved, but tissue damage risk increases
Solution Approach 1:
The patent dynamically changes the excitation light power parameter based on real-time signal assessment. The controller adjusts the excitation power level to maintain optimal signal strength while staying below tissue damage thresholds, allowing adaptive optimization without fixed safety limits
Solution Approach 2:
The system monitors Raman signal characteristics and uses this feedback to automatically adjust excitation power levels. The controller receives signal intensity information and modifies future excitation parameters to maximize signal quality while preventing tissue damage through real-time adaptive control
3Ease of operation
If fixed acquisition parameters are used for unknown samples, then system operation is simplified, but signal quality deteriorates due to suboptimal parameters
Solution Approach 1:
The system performs self-optimization by automatically assessing its own performance through real-time signal analysis and adjusting parameters without external intervention. The controller monitors signal characteristics and autonomously modifies acquisition parameters to achieve optimal results, eliminating the need for manual tuning while maintaining high signal quality
Solution Approach 2:
The system performs preliminary signal acquisition and analysis to determine optimal parameters before proceeding with the main measurement sequence. By conducting initial assessments and using this information to set up subsequent acquisitions, the system ensures optimal signal quality is achieved from the start without requiring manual parameter adjustment
4Measurement precision
If manual parameter adjustment is used to optimize signal quality, then measurement precision is improved, but operational complexity increases and time is consumed
Solution Approach 1:
The system automatically performs parameter optimization through integrated signal processing and adaptive control. The controller monitors Raman signal characteristics and autonomously adjusts acquisition parameters, eliminating the need for manual operator intervention while maintaining high measurement precision and reducing operational complexity
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
The system enhances the number of usable acquisitions and reduces the need for post-acquisition processing, effectively addressing the limitations of existing methods by dynamically optimizing Raman signal acquisition parameters, improving signal quality and reducing manual intervention in time-constrained surgical settings.
Implementation Method 1
Raman spectroscopy is a powerful technique for analyzing the composition of liquids, gases, and solids. It is based on the Raman scattering
Implementation Method 2
a spectrometer operable to spectrally analyze said optical Raman response
Data Source
AI summary
A dynamic Raman signal acquisition apparatus, system, and method involving: an excitation light source operable at a designated irradiation power and for a designated acquisition time for each Raman data acquisition; a Raman probe operatively associated with said excitation light source to irradiate the biological tissue at said designated irradiation power and for said designated acquisition time, and capture an optical Raman response therefrom; a spectrometer operable to spectrally analyze said optical Raman response; and a controller in operative communication with said excitation light source and said spectrometer to automatically adjust at least one signal acquisition parameter.