AIMC Topic: Spectrometry, Fluorescence

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Deep Learning-Assisted Intelligent Artificial Vision Platform Based on Dual-Luminescence Eu(III)-Functionalized HOF for the Diagnosis of Breast and Ovarian Cancer.

Analytical chemistry Dec 13, 2023
Developing an advanced analytical method to detect spermine (Spm) and -acetylneuraminic acid (NANA), the biomarkers of breast and ovarian cancers, respectively, is critical for the early diagnosis of the two cancers, which is very meaningful for wome...
Limit of Detection Spectrometry, Fluorescence Deep Learning Ovarian Neoplasms Luminescence Fluorescent Dyes Humans Prospective Studies Female
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Deep learning reduces data requirements and allows real-time measurements in imaging FCS.

Biophysical journal Dec 4, 2023
Imaging fluorescence correlation spectroscopy (FCS) is a powerful tool to extract information on molecular mobilities, actions, and interactions in live cells, tissues, and organisms. Nevertheless, several limitations restrict its applicability. Firs...
Deep Learning Spectrometry, Fluorescence
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Blue-emitting SiO-coated Si-doped ZnSeS quantum dots conjugated aptamer-molecular beacon as an electrochemical and metal-enhanced fluorescence biosensor for SARS-CoV-2 spike protein.

Analytica chimica acta Oct 17, 2023
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first reported in early January 2020, continues to devastate the worlds public health system. Herein, we report on the development of a novel metal-enhanced fluore...
Metal Nanoparticles Biosensing Techniques SARS-CoV-2 Humans Spike Glycoprotein, Coronavirus Spectrometry, Fluorescence Quantum Dots Selenium Compounds Aptamers, Nucleotide COVID-19 Electrochemical Techniques Zinc Compounds Silicon Dioxide Gold Limit of Detection
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Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning Algorithm.

Journal of fluorescence Aug 3, 2023
The current study presents a steadfast, simple, and efficient approach for the non-invasive determination of glycosuria of diabetes mellitus using fluorescence spectroscopy. A Xenon arc lamp emitting light in the range of 200-950 nm was used as an ex...
Machine Learning Algorithms Humans Glycosuria Spectrometry, Fluorescence Tryptophan Biomarkers Diabetes Mellitus
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Dissolved organic matter evolution and straw decomposition rate characterization under different water and fertilizer conditions based on three-dimensional fluorescence spectrum and deep learning.

Journal of environmental management Jul 3, 2023
Straw returning is a sustainable way to utilize agricultural solid waste resources. However, incomplete decomposition of straw will cause harm to crop growth and soil quality. Currently, there is a lack of technology to timely monitor the rate of str...
Spectrometry, Fluorescence Fertilizers Deep Learning Agriculture Dissolved Organic Matter Soil
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Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence.

Sensors (Basel, Switzerland) May 28, 2023
This study is directed towards developing a fast, non-destructive, and easy-to-use handheld multimode spectroscopic system for fish quality assessment. We apply data fusion of visible near infra-red (VIS-NIR) and short wave infra-red (SWIR) reflectan...
Fishes Artificial Intelligence Animals Spectrometry, Fluorescence
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Rapid detection of cholecystitis by serum fluorescence spectroscopy combined with machine learning.

Journal of biophotonics May 21, 2023
While cholecystitis is a critical public health problem, the conventional diagnostic methods for its detection are time consuming, expensive and insufficiently sensitive. This study examined the possibility of using serum fluorescence spectroscopy an...
Support Vector Machine Principal Component Analysis Spectrometry, Fluorescence Machine Learning Algorithms Humans
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Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 11, 2023
Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep ...
Lycium Neural Networks, Computer Deep Learning Algorithms Spectrometry, Fluorescence
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Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy.

Scientific reports Feb 24, 2023
Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models with a focus on deep learning, have an essential role in the pollen classification task. With...
Data Collection Deep Learning Artificial Intelligence Spectrometry, Fluorescence Pollen
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Determination of monophenolase activity based on backpropagation neural network analysis of three-dimensional fluorescence spectroscopy.

Journal of biotechnology Feb 10, 2023
Tyrosinase is pivotal for melanin formation. Measuring monophenolase activity is of great importance for both fundamental research and industrial applications. For the first time, a backpropagation (BP) artificial neural network with three-dimensiona...
Monophenol Monooxygenase Neural Networks, Computer Tyrosine Spectrometry, Fluorescence
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