[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 …
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 …
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
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
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 …
Dual-plane coupled phase retrieval for non-prior holographic imaging
Accurate depiction of waves in temporal and spatial is essential to the investigation of
interactions between physical objects and waves. Digital holography (DH) can perform …
interactions between physical objects and waves. Digital holography (DH) can perform …
[HTML][HTML] Combined effect of using porous media and nano-particle on melting performance of PCM filled enclosure with triangular double fins
In the present study, a vertically oriented rectangular-shaped enclosure with triangular
shaped double fins filled with PCM was considered as a Latent Thermal Energy Storage …
shaped double fins filled with PCM was considered as a Latent Thermal Energy Storage …