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 …

[HTML][HTML] On-axis digital holographic microscopy: Current trends and algorithms

AEG Madsen, MA Panah, PE Larsen, F Nielsen… - Optics …, 2023 - Elsevier
Digital holographic microscopy (DHM) is a rapidly developing imaging technique that allows
for the reconstruction of three-dimensional images from holographic data. In this review …

HoloForkNet: digital hologram reconstruction via multibranch neural network

AS Svistunov, DA Rymov, RS Starikov… - Applied Sciences, 2023 - mdpi.com
Reconstruction of 3D scenes from digital holograms is an important task in different areas of
science, such as biology, medicine, ecology, etc. A lot of parameters, such as the object's …

Nanoplastics in Water: Artificial Intelligence-Assisted 4D Physicochemical Characterization and Rapid In Situ Detection

Z Wang, D Pal, A Pilechi, PA Ariya - Environmental Science & …, 2024 - ACS Publications
For the first time, we present a much-needed technology for the in situ and real-time
detection of nanoplastics in aquatic systems. We show an artificial intelligence-assisted …

Neural-network-based methods in digital and computer-generated holography: a review

PA Cheremkhin, DA Rymov, AS Svistunov… - Journal of Optical …, 2024 - opg.optica.org
Subject of study. An overview of modern neural-network-based methods for digital and
computer-generated holography is presented. Relevant works on phase and amplitude …

Generative adversarial neural network for 3D-hologram reconstruction

SA Kiriy, DA Rymov, AS Svistunov… - Laser Physics …, 2024 - iopscience.iop.org
Neural-network-based reconstruction of digital holograms can improve the speed and the
quality of micro-and macro-object images, as well as reduce the noise and suppress the twin …

Digital in-line holographic microscopy for label-free identification and tracking of biological cells

J Kim, SJ Lee - Military Medical Research, 2024 - Springer
Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free
technique that captures three-dimensional (3D) positional, orientational, and morphological …

Automated phase reconstruction and super-resolution with deep learning in digital holography

S Park, Y Kim, I Moon - Optics & Laser Technology, 2024 - Elsevier
Digital holography can provide quantitative phase images that are related to the shape and
content of biological samples. In particular, high-resolution phase images contain more …

Object image reconstruction: method for reconstructing images from digital off-axis holograms using a generative adversarial network

SA Kiriy, AS Svistunov, DA Rymov, RS Starikov… - Measurement …, 2024 - Springer
The article considers the use of digital holography in reconstructing object images from
different 3D scene cross-sections. This reconstruction enables the study of different …

Biological Cells as Natural Biophotonic Devices: Fundamental and Applications–introduction to the feature issue

P Ferraro, Y Li, L Miccio, L Shui… - Biomedical Optics Express, 2022 - opg.optica.org
This feature issue of Biomedical Optics Express presents a cross-section of interesting and
emerging work of relevance to the use of biological cells or microorganisms in optics and …