Deep learning in the phase extraction of electronic speckle pattern interferometry

W Jiang, T Ren, Q Fu - Electronics, 2024 - mdpi.com
Electronic speckle pattern interferometry (ESPI) is widely used in fields such as materials
science, biomedical research, surface morphology analysis, and optical component …

Recent advances and current trends in transmission tomographic diffraction microscopy

N Verrier, M Debailleul, O Haeberlé - Sensors, 2024 - mdpi.com
Optical microscopy techniques are among the most used methods in biomedical sample
characterization. In their more advanced realization, optical microscopes demonstrate …

All-optical complex field imaging using diffractive processors

J Li, Y Li, T Gan, CY Shen, M Jarrahi… - Light: Science & …, 2024 - nature.com
Complex field imaging, which captures both the amplitude and phase information of input
optical fields or objects, can offer rich structural insights into samples, such as their …

[HTML][HTML] Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy

F Bardozzo, P Fiore, M Valentino, V Bianco… - Computers in Biology …, 2024 - Elsevier
Achieving microscopy with large space-bandwidth products plays a key role in diagnostic
imaging and is widely significant in the overall field of clinical practice. Among quantitative …

Motion-resolved, reference-free holographic imaging via spatiotemporally regularized inversion

Y Gao, L Cao - Optica, 2024 - opg.optica.org
Holography is a powerful technique that records the amplitude and phase of an optical field
simultaneously, enabling a variety of applications such as label-free biomedical analysis …

[HTML][HTML] Deep-ultraviolet Fourier ptychography (DUV-FP) for label-free biochemical imaging via feature-domain optimization

Q Zhao, R Wang, S Zhang, T Wang, P Song, G Zheng - APL photonics, 2024 - pubs.aip.org
We present deep-ultraviolet Fourier ptychography (DUV-FP) for high-resolution chemical
imaging of biological specimens in their native state without exogenous stains. This …

Object detection, auto-focusing and transfer learning for digital holography of solid composite propellant using efficient neural network

G Xu, Y Huang, J Lyu, P Liu, W Ao - Optics and Lasers in Engineering, 2024 - Elsevier
Digital holography has emerged as a powerful tool for various applications. However,
applications such as target detection and depth prediction in complex scenarios like …

Res-u2net: untrained deep learning for phase retrieval and image reconstruction

C Osorio Quero, D Leykam… - Journal of the Optical …, 2024 - opg.optica.org
Conventional deep learning-based image reconstruction methods require a large amount of
training data, which can be hard to obtain in practice. Untrained deep learning methods …

Single-shot inline holography using a physics-aware diffusion model

Y Zhang, X Liu, EY Lam - Optics Express, 2024 - opg.optica.org
Among holographic imaging configurations, inline holography excels in its compact design
and portability, making it the preferred choice for on-site or field applications with unique …

Deep learning phase recovery: data-driven, physics-driven, or a combination of both?

K Wang, EY Lam - Advanced Photonics Nexus, 2024 - spiedigitallibrary.org
Phase recovery, calculating the phase of a light wave from its intensity measurements, is
essential for various applications, such as coherent diffraction imaging, adaptive optics, and …