2019/12/16 by Alex Matlock, Anne Sentenac, Matlock, Alex +7
Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Digital Holography and Microscopy #FOS: Biological sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Optical Coherence Tomography Applications #Optical measurement and interference techniques #Optics (physics.optics) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1912.07709
openalex publication_date 2019/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.