Spectral Imaging System for Density and Anisotropy
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Solution Overview
Problem
Current methods for measuring biological architecture and activity lack efficient techniques for high-speed spectral imaging of three-dimensional density, anisotropy, and orientation of specimens, especially without the use of fluorescent labels.
Innovation Solution
The development of a system and method for spectral imaging that utilizes calibration and deconvolution algorithms to achieve fast imaging of anisotropy and density at multiple wavelengths, both with and without labels, by measuring optical path length, retardance, and slow axis orientation in transmission mode, and fluorophore concentration, anisotropy, and orientation in fluorescence mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional microscopy methods are used to measure biological architecture, then structural information can be obtained, but high-speed spectral imaging of 3D density, anisotropy, and orientation is not achieved
Solution Approach 1:
The imaging system divides the spectral imaging task into multiple wavelength channels, with each detector capturing intensity information at specific wavelengths. This segmentation allows parallel acquisition of spectral data across multiple wavelengths simultaneously, achieving high-speed 3D spectral imaging while maintaining precision through wavelength-specific measurements
Solution Approach 2:
The patent extends conventional 2D imaging into the spectral dimension by incorporating wavelength as an additional dimension. Multiple detectors measure intensity at different wavelengths, transforming the imaging process from spatial-only to spatio-spectral, enabling simultaneous acquisition of 3D structural information and spectral characteristics
2Adaptability or versatility
If fluorescent labels are used to enhance imaging capability, then specific biological structures can be visualized, but the complexity of the imaging system and sample preparation increases
Solution Approach 1:
The imaging system is designed to perform both label-free spectral imaging and fluorescence imaging using the same optical path and detectors. The system can operate in transmission mode for label-free imaging or switch to fluorescence mode by adding excitation sources, providing universal functionality without requiring separate specialized systems
Solution Approach 2:
The label-free imaging mode allows biological specimens to be imaged using their intrinsic optical properties (absorption, scattering, refractive index) without requiring external fluorescent labels. The system self-sufficiently extracts spectral and structural information from the specimen's natural interactions with light
3Measurement precision
If multiple wavelengths are used for spectral imaging, then material characterization is enhanced, but the acquisition time and data processing complexity increase
Solution Approach 1:
The spectral imaging system continuously collects intensity data across multiple wavelengths simultaneously using parallel detectors, rather than sequentially scanning through wavelengths. This continuous multi-wavelength acquisition maintains high material characterization accuracy while minimizing acquisition time through parallel measurement
Solution Approach 2:
The patent replaces mechanical wavelength scanning systems with a multi-detector array that simultaneously measures intensity at multiple wavelengths. This substitution eliminates mechanical movement and sequential scanning, achieving rapid spectral acquisition while maintaining precise material characterization through concurrent multi-wavelength detection
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 enables rapid measurement of specimen anisotropy and density, providing high-resolution, label-free imaging capabilities that enhance material characterization and biological analysis.
Implementation Method 1
detecting the collected sample light using a polarization state analyzer to form a set of polarization channels
Implementation Method 2
a calibration algorithm that returns an instrument tensor that characterizes imperfections in the light path at the location of the field of view and at each wavelength
Implementation Method 3
deconvolution methods are utilized that allow recovery of the specimen's physical properties from background corrected volumes of the Stokes parameters
Data Source
AI summary
A method of measuring optical properties of a specimen includes generating illumination light at a plurality of illumination wavelengths and, for each of the plurality of illumination wavelengths, directing the illumination light to impinge on the specimen, collecting sample light passing through the specimen, and detecting the collected sample light using a polarization state analyzer to form a set of polarization channels. The method also includes receiving a calibration tensor, converting the set of polarization channels for each of the illumination wavelengths into Stokes parameter maps using the calibration tensor, denoising the Stokes parameter maps, and deconvolving the Stokes parameter maps to provide density, anisotropy, and orientation measurements of the specimen. The method can multiplex intrinsic density, anisotropy, and orientation measurements of the specimen and density, anisotropy, and orientation measurements of labeled fluorescent molecules.