Stereomicroscope Spatial Channel Imaging for Multispectral Analysis
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Solution Overview
Problem
Conventional methods for determining the spatially resolved distribution of a substance's concentration in an object are inefficient due to the need for sequential introduction and removal of optical filters, high complexity, and high costs associated with multispectral image sensors and camera systems.
Innovation Solution
A method using a stereomicroscope to record images from two different directions with light image detectors, allowing simultaneous capture of images in different wavelength ranges without moving filters, and calculating the object property using intensity values from corresponding positions in both images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If optical filters are introduced successively into the beam path to record images in different wavelength ranges, then the measurement can be performed with simple equipment, but the method takes comparatively long time and reduces productivity
Solution Approach 1:
The beam path is spatially separated into multiple channels, with each channel equipped with its own optical filter and light image detector. This segmentation allows simultaneous recording of images in different wavelength ranges without requiring sequential filter changes, thereby maintaining equipment simplicity while significantly improving measurement speed and productivity.
2Productivity
If a multispectral image sensor is used to simultaneously detect images in different wavelength ranges, then productivity is improved, but the optical microfilters cannot be altered and the system loses adaptability
Solution Approach 1:
The optical filters in each spatial channel are designed to be movable or interchangeable, allowing the wavelength ranges to be dynamically adjusted according to different measurement requirements. This dynamic design maintains simultaneous image detection capability while providing the flexibility and adaptability of adjustable wavelength ranges.
3Productivity
If a camera system with spatially separated beam paths and multiple light image detectors is used, then simultaneous detection in different spectral ranges is achieved, but the system complexity and costs increase
Solution Approach 1:
The system uses a single microscope optical unit that serves multiple functions by directing light to different spatial channels, each with its own filter-detector pair. This multi-functional design achieves simultaneous spectral detection while avoiding the need for completely separate camera systems, thereby reducing overall system complexity and cost.
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
Enables efficient and cost-effective determination of a spatially resolved distribution of an object's property by eliminating the need for filter movement and reducing system complexity, while allowing adaptable wavelength ranges and diverse applications.
Implementation Method 1
recording a first image of the object from a first direction by the object being imaged onto a detection surface of a first light image detector with light in a first wavelength range
Data Source
AI summary
A method for determining a property of an object is disclosed, which includes: recording a first image of the object from a first direction; recording a second image of the object from a second direction; determining a first position in the first image, the first position representing a location of the object, and a second position in the second image, the second position representing the same location of the object, for a multiplicity of locations of the object; and calculating a value of an object property for each of the multiplicity of locations of the object. The value assigned to a location of the multiplicity of locations of the object is calculated using an intensity value at the first position, which represents the location, in the first image and an intensity value at the second position, which represents the location, in the second image.