Journal Article Epublish 19 citations
PubMed: 32206398 DOI: 10.1364/BOE.380845
Inverse scattering for reflection intensity phase microscopy.
Biomed Opt Express 11(2):911-926
Authors: Alex Matlock, Anne Sentenac, Patrick C Chaumet, Ji Yi, Lei Tian
Affiliations
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.
- Institut Fresnel, Aix Marseille Univ. CNRS, Centrale Marseille, Marseille, France.
- Department of Medicine, Boston University School of Medicine, Boston, MA 02215, USA.
Abstract
Reflection phase imaging provides label-free, high-resolution characterization of biological samples, typically using interferometric-based techniques. Here, we investigate reflection phase microscopy from -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 forward-scattering and height-dependent 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.
MeSH
Microscopy
Cited by
- Spatial light interference microscopy: principle and applications to biomedicine. Adv Opt Photonics, 2022
- Perspective on quantitative phase imaging to improve precision cancer medicine. J Biomed Opt, 2024
- Label-free superior contrast with c-band ultra-violet extinction microscopy. Light Sci Appl, 2023
- Phase contrast reflectance confocal brain imaging at 1650Â nm. J Biomed Opt, 2024
- LED array reflectance microscopy for scattering-based multi-contrast imaging. Opt Lett, 2021
- Review of bio-optical imaging systems with a high space-bandwidth product. Adv Photonics, 2022
- Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy. Sci Adv, 2021