Multilayered Optical Sensor with Surface-Emitting Laser for Measurement Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional optical live subject measuring devices face challenges in accurately measuring internal information of test objects due to limitations in measurement accuracy.
Innovation Solution
An optical sensor system with a multilayered structure incorporating surface-emitting laser elements and photo-sensing elements, coupled with an optical examination device and method that performs optical simulation and inverse problem estimation to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical measuring devices are used, then the device structure is simple, but the measurement accuracy of internal information is insufficient
Solution Approach 1:
The optical sensor is divided into multiple functional layers including a light-emitting layer with surface-emitting laser elements and a light-receiving layer with photo-sensing elements. This segmentation allows each layer to perform its specific function optimally, improving measurement accuracy while maintaining manageable device complexity through modular design
Solution Approach 2:
The light-emitting layer and light-receiving layer are integrated into a single optical sensor unit with optically connected elements. This merging of emission and detection functions in one component improves measurement accuracy by ensuring precise optical coupling, while the integrated structure actually reduces overall device complexity compared to separate components
2Measurement precision
If optical simulation and inverse problem estimation are performed, then the detection accuracy of optical properties is improved, but the calculation time and processing complexity increase
Solution Approach 1:
Optical simulation is performed in advance to create a forward model that maps optical properties to detection signals. This preliminary action allows the system to prepare lookup tables or pre-computed models, so that during actual measurement, the inverse problem can be solved more quickly by comparing against pre-established relationships rather than performing full simulations in real-time
Solution Approach 2:
The system uses iterative inverse problem estimation where detection results feed back into the optical model to refine optical property calculations. This feedback mechanism improves detection accuracy through successive approximation, while the iterative nature allows for optimized stopping criteria that balance accuracy with calculation time
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
Improves the measurement accuracy of internal information by precisely detecting light propagation and calculating optical properties of test objects, enabling better resolution and detection of light absorbers like cerebral blood flow.
Implementation Method 1
The multilayered structure includes at least one surface-emitting laser element
Implementation Method 2
a photo-sensing element optically connected to the at least one surface-emitting laser element
Data Source
AI summary
An optical sensor, an optical examination device, and a method of detecting optical properties. The optical sensor includes an irradiation system including light irradiator to irradiate a test object with light, and a detection system to detect the light that is emitted from the irradiation system to the test object and has propagated through the test object. The light irradiator includes a multilayered structure having an active layer, and the multilayered structure includes a surface-emitting laser element and a photo-sensing element optically connected to the surface-emitting laser element. The optical examination device includes the optical sensor, and a controller to calculate optical properties of the test object based on a detection result of the optical sensor. The method includes performing optical simulation to obtain a detection light quantity distribution for an optical model and performing inverse problem estimation.