[HTML][HTML] Transport of intensity equation: a tutorial

C Zuo, J Li, J Sun, Y Fan, J Zhang, L Lu… - Optics and Lasers in …, 2020 - Elsevier
When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …

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 …

Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization

H Chen, L Huang, T Liu, A Ozcan - Light: Science & Applications, 2022 - nature.com
Deep learning-based image reconstruction methods have achieved remarkable success in
phase recovery and holographic imaging. However, the generalization of their image …

[HTML][HTML] Resolution enhancement of digital holographic microscopy via synthetic aperture: a review

P Gao, C Yuan - Light: Advanced Manufacturing, 2022 - light-am.com
Digital holographic microscopy (DHM), which combines digital holography with optical
microscopy, is a wide field, minimally invasive quantitative phase microscopy (QPM) …

Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery

Y Wu, Y Rivenson, Y Zhang, Z Wei, H Günaydin, X Lin… - Optica, 2018 - opg.optica.org
Holography encodes the three-dimensional (3D) information of a sample in the form of an
intensity-only recording. However, to decode the original sample image from its hologram …

High-resolution transport-of-intensity quantitative phase microscopy with annular illumination

C Zuo, J Sun, J Li, J Zhang, A Asundi, Q Chen - Scientific reports, 2017 - nature.com
For quantitative phase imaging (QPI) based on transport-of-intensity equation (TIE), partially
coherent illumination provides speckle-free imaging, compatibility with brightfield …

Review of bio-optical imaging systems with a high space-bandwidth product

J Park, DJ Brady, G Zheng, L Tian… - Advanced …, 2021 - spiedigitallibrary.org
Optical imaging has served as a primary method to collect information about biosystems
across scales—from functionalities of tissues to morphological structures of cells and even at …

Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy

A Greenbaum, W Luo, TW Su, Z Göröcs, L Xue… - Nature …, 2012 - nature.com
We discuss unique features of lens-free computational imaging tools and report some of
their emerging results for wide-field on-chip microscopy, such as the achievement of a …

Smart computational light microscopes (SCLMs) of smart computational imaging laboratory (SCILab)

Y Fan, J Li, L Lu, J Sun, Y Hu, J Zhang, Z Li, Q Shen… - PhotoniX, 2021 - Springer
Computational microscopy, as a subfield of computational imaging, combines optical
manipulation and image algorithmic reconstruction to recover multi-dimensional microscopic …

Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring

Y Wu, A Ozcan - Methods, 2018 - Elsevier
Optical compound microscope has been a major tool in biomedical imaging for centuries. Its
performance relies on relatively complicated, bulky and expensive lenses and alignment …