Image Mapping Spectrometer Parallel Acquisition
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Solution Overview
Problem
Current hyperspectral imaging technologies face limitations in achieving high spatial, spectral, and temporal resolution simultaneously, particularly in applications like fluorescence microscopy, endoscopic imaging, and remote sensing, due to the need for scanning methods that are slow, prone to errors, and costly, and often compromise on image quality or speed.
Innovation Solution
The development of compact Image Mapping Spectrometer (IMS) systems that utilize an Image Mapping Field Unit, Spectral Separation Unit, and Selective Imager to acquire spectral information instantaneously and in parallel, allowing for high optical throughput and real-time data collection without scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scanning-based hyperspectral imaging is used, then spectral resolution can be improved, but temporal resolution and acquisition speed deteriorate
Solution Approach 1:
The system segments the spectral imaging task into parallel spatial-spectral channels using a lens array, where each lens captures light from a specific spatial region and directs it to corresponding detector pixels. This segmentation enables simultaneous capture of multiple spectral bands across the field of view without sequential scanning, resolving the contradiction between spectral resolution and acquisition speed.
Solution Approach 2:
The patent transforms the traditional scanning approach (temporal dimension) into a parallel spatial-spectral mapping approach. By using a lens array and detector array configuration, the system maps spatial positions and spectral bands into distinct detector pixel groups, adding a spatial dimension to the spectral measurement process and eliminating the need for time-consuming sequential scanning.
2Loss of information
If scanning-based hyperspectral imaging is used, then spectral data can be collected, but spatial resolution and temporal accuracy deteriorate due to scanning requirements
Solution Approach 1:
The system divides the detector array into spatial groups corresponding to different field of view regions, with each group capturing light through a specific lens. This segmentation preserves spatial information by maintaining a direct mapping between object space and detector space, eliminating spatial blurring caused by mechanical scanning while still collecting complete spectral data.
3Measurement precision
If expensive tunable filters are used for spectral imaging, then spectral bandwidth can be improved, but device cost and acquisition time deteriorate
Solution Approach 1:
The patent extracts the spectral filtering function from expensive tunable filters and replaces it with a fixed optical configuration consisting of lenses and a broadband detector. Each lens-optical path combination naturally isolates specific spatial-spectral information, eliminating the need for costly tunable filters while maintaining spectral measurement capability and reducing system complexity.
Solution Approach 2:
The system replaces the mechanical tunable filter system with a static optical configuration. Instead of mechanically moving filters to change spectral bands, the patent uses a fixed lens array that optically separates different spatial-spectral channels directly to the detector, eliminating mechanical complexity and cost while enabling parallel spectral measurement.
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
IMS systems enable fast, unambiguous, and high-resolution spectral imaging, capable of collecting large datasets in a single integration event, suitable for applications like fluorescence microscopy, endoscopic imaging, and remote sensing, while reducing processing time and improving image quality.
Implementation Method 1
The spectrometer in turn re-images this light to another location while dispersing this light according to its wavelength in a direction orthogonal to the orientation of the slit element
Data Source
AI summary
Devices and methods for hyperspectral and multispectral imaging are discussed. In particular, Image Mapping Spectrometer systems, methods of use, and methods of manufacture are presented. Generally, an image mapping spectrometer comprises an image mapping field unit, a spectral separation unit, and a selective imager. Image mapping spectrometers may be used in spectral imaging of optical samples. In some embodiments, the image mapping field unit of an image mapping spectrometer may be manufactured with surface shaped diamond tools.