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 …

Quantitative phase imaging: recent advances and expanding potential in biomedicine

TL Nguyen, S Pradeep, RL Judson-Torres, J Reed… - ACS …, 2022 - ACS Publications
Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …

[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques

X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …

[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 …

Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy

J Li, N Zhou, J Sun, S Zhou, Z Bai, L Lu… - Light: Science & …, 2022 - nature.com
We present a new label-free three-dimensional (3D) microscopy technique, termed transport
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …

Magnetic nanoparticles in targeted drug delivery: a review

E Kianfar - Journal of Superconductivity and Novel Magnetism, 2021 - Springer
Magnetic nanoparticles are one of the most important and widely used types of
nanomaterials, whose unique properties make them special compared to other …

Structured illumination microscopy based on principal component analysis

J Qian, Y Cao, Y Bi, H Wu, Y Liu, Q Chen, C Zuo - ELight, 2023 - Springer
Structured illumination microscopy (SIM) is one of the powerful super-resolution modalities
in bioscience with the advantages of full-field imaging and high photon efficiency. However …

Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Knowledge-Based …, 2021 - Elsevier
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem

J Jiao, S Ghoreishi, Z Moradi, K Oslub - Engineering with Computers, 2021 - Springer
As a first attempt, Fourier series expansion (FSE), particle swarm optimization (PSO), and
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …