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[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
Artificial intelligence-enabled quantitative phase imaging methods for life sciences
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and
label-free investigation of the physiology and pathology of biological systems. This review …
label-free investigation of the physiology and pathology of biological systems. This review …
Lens-free on-chip 3D microscopy based on wavelength-scanning Fourier ptychographic diffraction tomography
Lens-free on-chip microscopy is a powerful and promising high-throughput computational
microscopy technique due to its unique advantage of creating high-resolution images across …
microscopy technique due to its unique advantage of creating high-resolution images across …
Quantitative phase imaging based on holography: trends and new perspectives
Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering
solution to a quantitative description of the optical wavefront. After 75 years of development …
solution to a quantitative description of the optical wavefront. After 75 years of development …
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 …
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 …
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 …
Non-polynomial framework for stress and strain response of the FG-GPLRC disk using three-dimensional refined higher-order theory
MSH Al-Furjan, M Habibi, A Ghabussi, H Safarpour… - Engineering …, 2021 - Elsevier
This article presents a non-polynomial framework for bending responses of functionally
graded-graphene nanoplatelets composite reinforced (FG-GPLRC) disk based upon three …
graded-graphene nanoplatelets composite reinforced (FG-GPLRC) disk based upon three …
[HTML][HTML] Iterative projection meets sparsity regularization: towards practical single-shot quantitative phase imaging with in-line holography
Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …