AIMC Topic: Spectrum Analysis

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Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy.

Nature communications Sep 25, 2023
The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin e...
Male Deep Learning Humans Microscopy Spectrum Analysis Remote Sensing Technology Coloring Agents
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Efficient Photoacoustic Image Synthesis with Deep Learning.

Sensors (Basel, Switzerland) Aug 10, 2023
Photoacoustic imaging potentially allows for the real-time visualization of functional human tissue parameters such as oxygenation but is subject to a challenging underlying quantification problem. While in silico studies have revealed the great pote...
Neural Networks, Computer Deep Learning Humans Monte Carlo Method Spectrum Analysis Forearm
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Artificial Intelligence-Aided Massively Parallel Spectroscopy of Freely Diffusing Nanoscale Entities.

Analytical chemistry Aug 8, 2023
Massively parallel spectroscopy (MPS) of many single nanoparticles in an aqueous dispersion is reported. As a model system, bioconjugated photon-upconversion nanoparticles (UCNPs) with a near-infrared excitation are prepared. The UCNPs are doped eith...
Artificial Intelligence Nanoparticles Spectrum Analysis Streptavidin
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Elucidating the Role of Hydrogen Bonding in the Optical Spectroscopy of the Solvated Green Fluorescent Protein Chromophore: Using Machine Learning to Establish the Importance of High-Level Electronic Structure.

The journal of physical chemistry letters Jul 17, 2023
Hydrogen bonding interactions with chromophores in chemical and biological environments play a key role in determining their electronic absorption and relaxation processes, which are manifested in their linear and multidimensional optical spectra. Fo...
Spectrum Analysis Hydrogen Bonding Water Green Fluorescent Proteins Machine Learning
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Interpretable machine learning assisted spectroscopy for fast characterization of biomass and waste.

Waste management (New York, N.Y.) Feb 16, 2023
The combination of machine learning and infrared spectroscopy was reported as effective for fast characterization of biomass and waste (BW). However, this characterization process is lack of interpretability towards its chemical insights, leading to ...
Spectrum Analysis Machine Learning Reproducibility of Results Biomass
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Neural network-based optimization of sub-diffuse reflectance spectroscopy for improved parameter prediction and efficient data collection.

Journal of biophotonics Feb 11, 2023
In this study, a general and systematical investigation of sub-diffuse reflectance spectroscopy is implemented. A Gegenbauer-kernel phase function-based Monte Carlo is adopted to describe photon transport more efficiently. To improve the computationa...
Computer Simulation Spectrum Analysis Scattering, Radiation Neural Networks, Computer Algorithms
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Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset.

International journal of pharmaceutics Jan 18, 2023
As the pharmaceutical industry increasingly adopts the Pharma 4.0. concept, there is a growing need to effectively predict the product quality based on manufacturing or in-process data. Although artificial neural networks (ANNs) have emerged as power...
Neural Networks, Computer Retrospective Studies Hypromellose Derivatives Spectrum Analysis Tablets Technology, Pharmaceutical
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Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy.

IEEE transactions on medical imaging Dec 2, 2022
Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin ( [Formula: see text]), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF), multi-parametric photoacoustic microscopy (PAM) has emerge...
Animals Spectrum Analysis Brain Deep Learning Photoacoustic Techniques Hemoglobins Mice Microscopy
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Identification of agricultural quarantine materials in passenger's luggage using ion mobility spectroscopy combined with a convolutional neural network.

Analytical methods : advancing methods and applications Nov 24, 2022
As economic globalization intensifies, the recent increase in agricultural products and travelers from abroad has led to an increase in the probability of invasive alien species. A major pathway for invasive alien species is agricultural quarantine m...
Dogs Quarantine Discriminant Analysis Neural Networks, Computer Spectrum Analysis Animals Least-Squares Analysis
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Examining unsupervised ensemble learning using spectroscopy data of organic compounds.

Journal of computer-aided molecular design Nov 21, 2022
One solution to the challenge of choosing an appropriate clustering algorithm is to combine different clusterings into a single consensus clustering result, known as cluster ensemble (CE). This ensemble learning strategy can provide more robust and s...
Spectrum Analysis Algorithms Machine Learning Cluster Analysis
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