ICE Core Spectral Profile Corrects Optical Throughput Errors
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Solution Overview
Problem
Optical computing devices suffer from throughput errors due to unaccounted factors like lens aberrations and systematic errors, leading to performance degradation in predicting sample characteristics.
Innovation Solution
The implementation of an Integrated Computational Element (ICE) core with a spectral profile designed to correct calibration transfer errors, achieved by determining the necessary spectral profile through analysis and adjustment of layer thicknesses in the ICE core, which can be fabricated using materials like silicon and quartz, to self-correct for system throughput errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If optical computing devices are assembled using multiple optical components, then the device can perform regression calculations and extract spectral fingerprint information, but throughput errors occur due to lens aberrations, variation in optical elements, and systematic errors
Solution Approach 1:
The patent applies preliminary action by designing and integrating an error correction ICE core into the optical computing device before operation. This correction element is pre-configured with a spectral profile that compensates for known throughput errors from optical components, preventing accuracy degradation before it occurs during actual measurements
Solution Approach 2:
The error correction ICE core serves as an intermediary element between the sample and the detection system. It mediates the optical path by introducing a compensating spectral modification that counteracts the throughput errors introduced by lenses and other optical components, allowing accurate measurements despite the presence of these error sources
2Ease of manufacture
If the spectral throughput of optical systems is modeled, then the device can be designed and fabricated, but the assembled device throughput differs from the modeled throughput due to unaccounted errors
Solution Approach 1:
The patent applies preliminary action by calculating the expected throughput errors during the design phase and incorporating an error correction ICE core with a pre-determined spectral profile. This allows the device to be manufactured with standard tolerances while still achieving accurate throughput performance through the pre-integrated correction element
Solution Approach 2:
The patent applies parameter changes by modifying the spectral profile of the error correction ICE core based on calculated throughput errors. The correction element's optical properties are specifically tuned to compensate for the deviations between modeled and actual device throughput, transforming the error parameters into correctable spectral modifications
3Productivity
If conventional electronic processors are used, then hardwired circuits perform calculations, but optical computing devices using ICE cores can perform regression calculations more efficiently
Solution Approach 1:
The error correction ICE core acts as an intermediary that enables the optical computing device to maintain high calculation speed while achieving measurement precision comparable to or exceeding conventional electronic processors. The correction element compensates for optical system errors, allowing the optical regression calculations to produce accurate predictions without sacrificing the speed advantage
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 solution effectively corrects for throughput errors, enhancing the accuracy of sample characteristic predictions by compensating for unaccounted errors in the optical system, thereby maintaining the integrity of the device's performance without the need for re-calibration.
Implementation Method 1
ICE cores typically consist of multiple physical layers with different refractive indexes in the film material, wherein their optical or spectroscopic characteristics, if designed properly, can be transformed into effective inputs for linear and nonlinear multivariate calibration
Implementation Method 2
ICE cores typically consist of multiple physical layers with different refractive indexes in the film material, wherein their optical or spectroscopic characteristics, if designed properly, can be transformed into effective inputs for linear and nonlinear multivariate calibration
Implementation Method 3
When electromagnetic radiation interacts with a substance, unique physical and chemical information about the substance is encoded in the electromagnetic radiation that is reflected from, transmitted through, or radiated from the sample. This information is often referred to as the substance's spectral 'fingerprint.'
Data Source
AI summary
An optical computing device utilizes an Integrated Computational Element (“ICE”) core to correct calibration transfer errors in the device.