Inverse scattering for reflection intensity phase microscopy
Reflection phase imaging provides label-free, high-resolution characterization of biological samples, typically using interferometric-based techniques. Here, we investigate reflection phase microscopy from intensity-only measurements under diverse illumination. We evaluate the forward and inverse scattering model based on the first Born approximation for imaging scattering objects above a glass slide. Under this design, the measured field combines linear forward-scattering and height-dependent nonlinear back-scattering from the object that complicates object phase recovery. Using only the forward-scattering, we derive a linear inverse scattering model and evaluate this model's validity range in simulation and experiment using a standard reflection microscope modified with a programmable light source. Our method provides enhanced contrast of thin, weakly scattering samples that complement transmission techniques. This model provides a promising development for creating simplified intensity-based reflection quantitative phase imaging systems easily adoptable for biological research.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
FlowTIE: Flow-based Transport of Intensity Equation for Phase Gradient Estimation from 4D-STEM Data
We introduce FlowTIE, a neural-network-based framework for phase reconstruction from 4D-Scanning Transmission Electron Microscopy (STEM) data, which integrates the Transport of Intensity Equation (TIE) with a flow-based …
High-Contrast Reflection Tomography with Total-Variation Constraints
Inverse scattering is the process of estimating the spatial distribution of the scattering potential of an object by measuring the scattered wavefields around it. In this paper, we consider reflection tomography of high …
GeophysicsObjectVocal Bursts Intensity PredictionY-net: A Physics-constrained and Semi-supervised Learning Approach to the Phase Problem in Computational Electron Imaging
The phase problem in diffraction physics is one of the oldest inverse problems in all of science. The central difficulty that any approach to solving this inverse problem must overcome is that half of the information, na…
RetrievalA General Scattering Phase Function for Inverse Rendering
We tackle the problem of modeling light scattering in homogeneous translucent material and estimating its scattering parameters. A scattering phase function is one of such parameters which affects the distribution of sca…
Inverse RenderingDeep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
In this work, we propose a novel learning-based method to jointly estimate the shape and subsurface scattering (SSS) parameters of translucent objects by utilizing polarization cues. Although polarization cues have been …
BRDF estimationInverse RenderingReflection Removal