AIMC Topic: Interferometry

Clear Filters Showing 1 to 10 of 11 articles

C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning.

Scientific reports Aug 14, 2024
The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation o...
Humans Biosensing Techniques Inflammation Machine Learning Sepsis Optical Fibers Interferometry C-Reactive Protein Urinary Tract Infections
View on PubMed DOI

Beyond Correlations: Deep Learning for Seismic Interferometry.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Passive seismic interferometry is a vastly generalized blind deconvolution question, where different paths through the Earth correspond to different channels called Green's functions; the sources are completely incoherent and not shared by the channe...
Interferometry Noise Acoustics Neural Networks, Computer Deep Learning
View on PubMed DOI

Machine learning assisted interferometric structured illumination microscopy for dynamic biological imaging.

Nature communications Dec 21, 2022
Structured Illumination Microscopy, SIM, is one of the most powerful optical imaging methods available to visualize biological environments at subcellular resolution. Its limitations stem from a difficulty of imaging in multiple color channels at onc...
Interferometry Machine Learning Microscopy, Fluorescence Lighting
View on PubMed DOI

Fringe Detection and Displacement Sensing for Variable Optical Feedback-Based Self-Mixing Interferometry by Using Deep Neural Networks.

Sensors (Basel, Switzerland) Dec 14, 2022
Laser feedback-based self-mixing interferometry (SMI) is a promising technique for displacement sensing. However, commercial deployment of such sensors is being held back due to reduced performance in case of variable optical feedback which invariabl...
Interferometry Equipment Design Neural Networks, Computer Lasers, Semiconductor Feedback
View on PubMed DOI

High-resolution single-shot phase-shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples.

Journal of biophotonics May 7, 2021
White light phase-shifting interference microscopy (WL-PSIM) is a prominent technique for high-resolution quantitative phase imaging (QPI) of industrial and biological specimens. However, multiple interferograms with accurate phase-shifts are essenti...
Interferometry Light Microscopy, Interference Humans Neural Networks, Computer
View on PubMed DOI

Beetle-inspired responsive photonic microgel assemblies for multi-sensing enhanced by machine learning.

Biosensors & bioelectronics Oct 15, 2025
Bioinspired photonic hydrogels hold promise as sensors; however, their use in triple-analyte sensing optical devices has been minimally explored. Temperature, serum Fe levels, and X-ray doses are critical factors for predicting and monitoring medical...
Humans Neural Networks, Computer Machine Learning Iron Temperature Ferrous Compounds Animals Biosensing Techniques Photons Interferometry Hydrogels Metallocenes
View on PubMed DOI

Single-shot multispectral quantitative phase imaging of biological samples using deep learning.

Applied optics May 20, 2023
Multispectral quantitative phase imaging (MS-QPI) is a high-contrast label-free technique for morphological imaging of the specimens. The aim of the present study is to extract spectral dependent quantitative information in single-shot using a highly...
Holography Interferometry Neural Networks, Computer Deep Learning
View on PubMed DOI

Application of attention-DnCNN for ESPI fringe patterns denoising.

Journal of the Optical Society of America. A, Optics, image science, and vision Nov 1, 2022
Fringe patterns' denoising in electronic speckle pattern interferometry (ESPI) is an important step in phase extraction. In this study, we propose a new denoising method for ESPI fringe patterns based on a convolutional neural network (CNN). The prop...
Neural Networks, Computer Electronics Interferometry
View on PubMed DOI

Dual-wavelength interferogram decoupling method for three-frame generalized dual-wavelength phase-shifting interferometry based on deep learning.

Journal of the Optical Society of America. A, Optics, image science, and vision Mar 1, 2021
In dual-wavelength interferometry, the key issue is how to efficiently retrieve the phases at each wavelength using the minimum number of wavelength-multiplexed interferograms. To address this problem, a new dual-wavelength interferogram decoupling m...
Humans Erythrocytes Interferometry Algorithms Deep Learning
View on PubMed DOI

Low coherence quantitative phase microscopy with machine learning model and Raman spectroscopy for the study of breast cancer cells and their classification.

Applied optics Feb 10, 2019
Early-stage detection of breast cancer is the primary requirement in modern healthcare as it is the most common cancer among women worldwide. Histopathology is the most widely preferred method for the diagnosis of breast cancer, but it requires long ...
Interferometry Spectrum Analysis, Raman Microscopy, Interference Breast Neoplasms Machine Learning Humans Reproducibility of Results ROC Curve Female Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Recent Journals