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On the use of deep learning for phase recovery
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 …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Quantitative phase imaging: recent advances and expanding potential in biomedicine
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 …
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 …
such a device is capable of continuous and reversible response and should not damage the …
[HTML][HTML] Transport of intensity equation: a tutorial
When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …
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
We present a new label-free three-dimensional (3D) microscopy technique, termed transport
of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA) …
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 …
nanomaterials, whose unique properties make them special compared to other …
Structured illumination microscopy based on principal component analysis
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 …
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 …
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 …
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 …
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …