Multi-spectral scattering-matrix tomography
Inventors
HSU, Chia Wei • Wang, Zeyu • Zhang, Yiwen
Assignees
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Publication Number
US-12360039-B2
Publication Date
2025-07-15
Expiration Date
Abstract
A method for multi-spectral scattering-matrix tomography includes a step of splitting an input light signal into an incident light signal and a reference light signal. The sample light signal is directed to a sample in either a reflection configuration or a transmission configuration such that an output light signal includes light scattered from or transmitted through the sample. The incident signal and the reference light signal are directed to a camera angled to allow for amplitude and phase to be calculated by off-axis holography. A total light signal is measured with a camera that is a coherent sum of the reference light signal and the output signal. The total light signal for each light frequency and each incident angle are collected as collected total light signal data. A computing device derives an image of the sample from a calculated reflection matrix or transmission matrix or both of them.
Core Innovation
A multi-spectral scattering-matrix tomography method splits an input light signal into an incident light signal and a reference light signal, and varies the input light signal over a predetermined frequency range. The incident light signal is directed to a sample in either a reflection configuration or a transmission configuration so that an output light signal includes light scattered from or transmitted through the sample, and the incident light signal is varied over a predetermined range of incident angles.
The output light signal and the reference light signal are directed to a camera such that the output light signal is directed at a constant angle with respect to the reference light signal to allow for amplitude and phase to be calculated by off-axis holography. The camera measures a total light signal that is a coherent sum of the reference light signal and the output light signal, and total light signal data are collected for each light frequency and each incident angle.
A computing device calculates a scattering matrix or a reflection matrix or a transmission matrix from the collected total light signal data. An image of the sample is derived from the scattering matrix or reflection matrix or transmission matrix by summing over angles and summing over light frequencies, where an image intensity is determined from the scattering matrix using a relationship that includes wavevectors and a position vector r0. In the system implementation, the computing device determines the matrix by Fourier transforming the collected total light signal data and performing an inverse Fourier transform on a first-order region to determine amplitude and phase of the output light signal, and then derives the image intensity from the reflection matrix or transmission matrix by summing over angles and frequencies.
Claims Coverage
Two independent claims are present: one directed to a method and one directed to a system. Across the independent claims, there are five inventive features covering multi-spectral excitation, incident-angle scanning, off-axis holography measurement of a coherent-sum total light signal, computation of scattering/reflection/transmission matrices via Fourier and inverse Fourier processing, and image formation by summing over angles and summing over light frequencies with matrix-derived intensity expressions.
Splitting input light signal and frequency variation
splitting an input light signal into an incident light signal and a reference light signal, wherein the input light signal is varied over a predetermined frequency range
Reflection or transmission configuration with incident-angle variation
directing the incident light signal to a sample in either a reflection configuration or a transmission configuration such that an output light signal includes light scattered from or transmitted through the sample, wherein the incident light signal is varied over a predetermined range of incident angles
Off-axis holography coherent-sum total light signal on camera
directing the output light signal and the reference light signal to a camera, the output light signal directed at a constant angle with respect to the reference light signal to allow for amplitude and phase to be calculated by off-axis holography; measuring with the camera a total light signal that is a coherent sum of the reference light signal and the output light signal
Collecting data and calculating scattering/reflection/transmission matrix
collecting the total light signal for each light frequency and each incident angle as collected total light signal data; calculating with a computing device a scattering matrix or a reflection matrix or a transmission matrix from the collected total light signal data
Image derivation by summing over angles and frequencies from matrix intensity expression
deriving an image of the sample from the scattering matrix or reflection matrix or transmission matrix by summing over angles and summing over light frequencies, wherein an image intensity is determined from the scattering matrix by a specified relationship that uses S(ω, kout, kin), k-vectors, and position r0
The claims center on multi-spectral frequency variation and incident-angle variation with off-axis holography measurement of a coherent-sum total light signal, matrix construction using collected data and Fourier/inverse Fourier processing, and image formation by summing over angles and frequencies using matrix-derived intensity expressions with wavevectors and position.
Stated Advantages
Improved depth and resolution without DOF/resolution tradeoff.
Spatio-temporal gating using input/output spatial gating plus time gating.
Digital aberration correction including refractive index mismatch correction, optical chromatic/spatial aberrations correction, sample dispersion correction, and angle-dependent spatial aberrations correction.
Documented Applications
Simulation and 3D imaging with a tissue phantom containing TiO2 nanoparticles and an imaging demonstration of a USAF target under mouse brain tissue.
Comparisons to confocal microscopy, OCT, OCM, and ISAM, including depth-of-field and resolution metrics and 3D imaging demonstrations.
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