Tissue Identification Device Using Absorbance Ratio
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Solution Overview
Problem
Existing biological tissue identification techniques using Fourier Transform Infrared Spectroscopy require processing large amounts of information from broad wavelength absorbance spectra, leading to increased identification time.
Innovation Solution
A method involving the use of two inspection lights with different peak wavelengths between 2 μm to 20 μm, where the ratio or reciprocal of their absorbance values is calculated to generate identification information, reducing the need for extensive data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FTIR is used to acquire absorbance spectrum in broad wavelength range, then identification accuracy is improved, but identification time increases due to processing large amount of information
Solution Approach 1:
The invention extracts only the essential information needed for tissue identification by calculating the ratio of absorbance at two specific wavelengths (980 nm and 1460 nm) rather than processing the entire broad-spectrum absorbance data. This extraction of key features maintains identification accuracy while dramatically reducing processing time and data volume.
Solution Approach 2:
The invention transforms the identification approach by changing from analyzing the complete absorbance spectrum to using a simplified parameter (absorbance ratio at two specific wavelengths). This parameter transformation reduces the complexity of data processing while preserving the ability to distinguish between different tissue types.
2Loss of information
If broad wavelength range absorbance spectrum is acquired and analyzed, then comprehensive tissue information is obtained, but data processing complexity increases
Solution Approach 1:
The invention extracts the most discriminatory information from the absorbance spectrum by selecting two specific wavelengths (980 nm and 1460 nm) that correspond to important molecular vibrations in biological tissues. This selective extraction maintains tissue identification capability while eliminating the need to process the entire spectral range.
Solution Approach 2:
The invention segments the continuous absorbance spectrum into discrete measurement points at two critical wavelengths. This segmentation approach simplifies the data structure from a continuous function to two discrete values, making processing more efficient while retaining diagnostic information.
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
This approach allows for rapid identification of biological tissue without processing large amounts of information, improving efficiency and objectivity in tissue classification.
Implementation Method 1
measuring an absorbance spectrum in a broad infrared range including near-infrared light by Fourier Transform Infrared Spectroscopy (FTIR)
Data Source
AI summary
A control section as a tissue identification device includes: an absorbance ratio calculating section configured to calculate the ratio of an absorbance indicated by a transmitted portion of first inspection light transmitted through biological tissue to an absorbance indicated by a transmitted portion of second inspection light transmitted through the biological tissue; and an identification information generating section configured to generate identification information indicative of the type or state of the biological tissue by determining within which of a plurality of preset numerical ranges the ratio falls.