On the use of deep learning for phase recovery

K Wang, L Song, C Wang, Z Ren, G Zhao… - Light: Science & …, 2024 - nature.com
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Compensation of aberrations in holographic microscopes: main strategies and applications

DG Sirico, L Miccio, Z Wang, P Memmolo, W Xiao… - Applied Physics B, 2022 - Springer
Digital holography is a technique that provides a non-invasive, label-free, quantitative, and
high-resolution imaging employable in biological and science of matter fields, but not only …

Machine learning assisted classification of cell lines and cell states on quantitative phase images

AV Belashov, AA Zhikhoreva, TN Belyaeva, AV Salova… - Cells, 2021 - mdpi.com
In this report, we present implementation and validation of machine-learning classifiers for
distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis …

Emerging scientific and industrial applications of digital holography: An overview

R Kumar, G Dwivedi - Engineering Research Express, 2023 - iopscience.iop.org
Holography is a technique to record and reconstruct three dimensional (3D) information
without mandating lenses. Digital holography (DH) provides direct access to the complex …

Phase aberration compensation via a self-supervised sparse constraint network in digital holographic microscopy

J Tang, J Zhang, S Zhang, S Mao, Z Ren, J Di… - Optics and Lasers in …, 2023 - Elsevier
Phase aberration compensation is of great significance for the quantitative phase imaging in
digital holographic microscopy. Least-square-based fitting algorithms are the most common …

Wrapped phase aberration compensation using deep learning in digital holographic microscopy

L Huang, J Tang, L Yan, J Chen, B Chen - Applied Physics Letters, 2023 - pubs.aip.org
In digital holographic microscopy (DHM), phase aberration compensation is a general
problem for improving the accuracy of quantitative phase measurement. Current phase …

Quantitative phase imaging in digital holographic microscopy based on image inpainting using a two-stage generative adversarial network

S Ma, Q Liu, Y Yu, Y Luo, S Wang - Optics Express, 2021 - opg.optica.org
Based on the hologram inpainting via a two-stage Generative Adversarial Network (GAN),
we present a precise phase aberration compensation method in digital holographic …

Fast automated quantitative phase reconstruction in digital holography with unsupervised deep learning

S Park, Y Kim, I Moon - Optics and Lasers in Engineering, 2023 - Elsevier
Digital holography can provide quantitative phase images related to the morphology and
content of biological samples. To reconstruct an accurate phase image, several processes …

Advances in digital holographic interferometry

V Petrov, A Pogoda, V Sementin, A Sevryugin… - Journal of …, 2022 - mdpi.com
Holographic interferometry is a well-established field of science and optical engineering. It
has a half-century history of successful implementation as the solution to numerous …

ResNet-based image inpainting method for enhancing the imaging speed of single molecule localization microscopy

Z Zhou, W Kuang, Z Wang, ZL Huang - Optics Express, 2022 - opg.optica.org
Single molecule localization microscopy (SMLM) is a mainstream method in the field of
super-resolution fluorescence microscopy that can achieve a spatial resolution of 20∼ 30 …