Mid-Infrared Imaging Controller Weighted Image Synthesis
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Solution Overview
Problem
Current imaging systems face challenges in efficiently generating and managing large datasets from multiple scans of specimens at different wavelengths and spatial resolutions, particularly in mid-infrared spectroscopy, which requires rapid scanning and effective data representation.
Innovation Solution
The system employs a controller-driven imaging apparatus that generates and combines component images from different viewing conditions, allowing for weighted sums and multi-resolution data management, enabling efficient data representation and display of specimens across various wavelengths and resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple scans of specimens at different wavelengths and spatial resolutions are performed, then comprehensive spectral and spatial information is obtained, but data management complexity and processing time increase
Solution Approach 1:
The patent segments the imaging data into multiple component images at different wavelengths and spatial resolutions. Each component image is processed and stored separately, allowing for organized management of complex multi-dimensional data. The segmentation enables systematic handling of spectral and spatial information without overwhelming the system with a single monolithic dataset.
Solution Approach 2:
The patent introduces a weighting dimension to combine component images, transforming the data management approach from static storage to dynamic synthesis. By adding the weighting factor dimension, the system can optimize the combination of multiple scans at different resolutions and wavelengths, reducing data management complexity through controlled integration rather than raw data accumulation.
2Productivity
If rapid scanning is performed to reduce scanning time, then productivity increases, but signal-to-noise ratio decreases
Solution Approach 1:
The patent merges multiple component images obtained at different scanning speeds and resolutions into a single optimized compound image. By combining data from multiple scans with different signal-to-noise ratios, the system achieves superior overall signal quality while maintaining high productivity. The merging process allows rapid scanning to proceed without sacrificing measurement precision.
Solution Approach 2:
The patent changes the parameter of image combination through weighted sums, where each component image is assigned a weight factor based on its quality and relevance. This parameter transformation allows the system to optimize the final image quality independently of the scanning speed used for individual component images, decoupling productivity from signal-to-noise ratio.
3Quantity of substance
If component images are stored in compressed format to manage large datasets, then data storage efficiency improves, but data access and processing time increase
Solution Approach 1:
The patent performs preliminary compression of component images during the data acquisition phase, storing them in compressed format to maximize storage efficiency. The compression is applied systematically to each component image before it enters the final processing pipeline, ensuring that data storage requirements are minimized while maintaining the ability to process the data when needed.
Solution Approach 2:
The patent creates a compressed copy of the component images for storage, while maintaining the ability to access and process the image data as needed. The compressed format serves as an efficient representation that can be quickly processed into the final compound image, balancing storage efficiency with processing speed through intelligent data management.
4Area of stationary object
If component images with different spatial resolutions are combined, then comprehensive spatial coverage is achieved, but image processing complexity increases
Solution Approach 1:
The patent applies local quality by allowing different regions of the compound image to be formed from component images with different spatial resolutions. Areas requiring high resolution can be processed from high-resolution component images, while broader areas use lower-resolution components. This localized approach manages processing complexity by applying high computational resources only where necessary.
Solution Approach 2:
The patent introduces dynamic weighting factors that can be adjusted during the image combination process. These dynamic parameters allow the system to adaptively balance the contribution of different spatial resolution components based on the specific requirements of each region, making the processing complexity manageable through flexible, data-driven control rather than rigid fixed-resolution constraints.
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 enhances the signal-to-noise ratio, reduces scanning time, and effectively manages large datasets by allowing for transparent overlay and color-coded display of multiple image layers, facilitating the comparison of specimens across different wavelengths and resolutions.
Implementation Method 1
measuring the absorption of MIR light at various locations on a sample can provide useful information about the chemistry of the sample
Implementation Method 2
mid-infrared (MIR) light source that can be used for spectroscopic measurements and images. Many chemical components of interest have molecular vibrations that are excited in the MIR region of the optical spectrum
Data Source
AI summary
An apparatus and method for generating images of specimens is disclosed. The apparatus includes an imaging system, controller, and user interface. The imaging system generates a plurality of component images of a specimen, each component image corresponding to a different viewing condition. Each image is represented by an intensity as a function of location on the specimen. The controller stores the component images and generates a compound image from a plurality of the component images. The compound image includes a weighted sum of first and second ones of the component images, the controller displaying the compound image on a display controlled by the controller. The user interface is adapted to control a weighting factor used in generating the weighted sum in response to user input. The controller redisplays the compound image after the weighting factor is changed in response to user input.