AIMC Topic: Fluorescence

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Olive oil classification with Laser-induced fluorescence (LIF) spectra using 1-dimensional convolutional neural network and dual convolution structure model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 21, 2022
Laser-induced fluorescence (LIF) spectroscopy is widely used for the analysis and classification of olive oil. This paper proposes the classification of LIF data using a specific 1-dimensional convolutional neural network (1D-CNN) model, which does n...
Lasers Olive Oil Fluorescence Support Vector Machine Neural Networks, Computer
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Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine.

Sensors (Basel, Switzerland) May 15, 2022
We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM), using the extreme learning machine (ELM). We used extensive metrics to evaluate ELM and existing algorithms. First, we compared these algorithms usi...
Algorithms Male Fluorescence Humans Neural Networks, Computer
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Bayesian machine learning analysis of single-molecule fluorescence colocalization images.

eLife Mar 23, 2022
Multi-wavelength single-molecule fluorescence colocalization (CoSMoS) methods allow elucidation of complex biochemical reaction mechanisms. However, analysis of CoSMoS data is intrinsically challenging because of low image signal-to-noise ratios, non...
Unsupervised Machine Learning Bayes Theorem Microscopy, Fluorescence Fluorescence Image Processing, Computer-Assisted Reproducibility of Results
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CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images.

BMC bioinformatics Jan 18, 2022
BACKGROUND: Algorithmic cellular segmentation is an essential step for the quantitative analysis of highly multiplexed tissue images. Current segmentation pipelines often require manual dataset annotation and additional training, significant paramete...
Image Processing, Computer-Assisted Algorithms Fluorescence Neural Networks, Computer Software
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A photonic crystal fiber-based fluorescence sensor for simultaneous and sensitive detection of lactic acid enantiomers.

Analytical and bioanalytical chemistry Jan 13, 2022
A photonic crystal fiber (PCF)-based fluorescence sensor is developed for rapid and sensitive detection of lactic acid (LA) enantiomers in serum samples. The sensor is fabricated by chemical binding dual enzymes on the inner surface of the PCF with n...
Microscopy, Electron, Scanning Spectroscopy, Fourier Transform Infrared Enzymes, Immobilized Limit of Detection Sensitivity and Specificity L-Lactate Dehydrogenase Humans Equipment Design Reproducibility of Results Fluorescence Optics and Photonics Lasers Lactic Acid Stereoisomerism
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Explainable Deep Learning-Assisted Fluorescence Discrimination for Aminoglycoside Antibiotic Identification.

Analytical chemistry Jan 3, 2022
The complexity and multivariate analysis of biological systems and environment are the drawbacks of the current high-throughput sensing method and multianalyte identification. Deep learning (DL) algorithms contribute a big advantage in analyzing the ...
Neural Networks, Computer Fluorescence Deep Learning Algorithms Anti-Bacterial Agents Aminoglycosides
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[New intraoperative fluorescence-based and spectroscopic imaging techniques in visceral medicine - precision surgery in the "high tech"-operating room].

Zeitschrift fur Gastroenterologie Jun 22, 2021
INTRODUCTION: Fluorescence angiography (FA) with indocyanine green (ICG) and hyperspectral imaging (HSI) are novel intraoperative visualization techniques in abdominal, vascular and transplant surgery. With the purpose of precision surgery, and in or...
Anastomotic Leak Operating Rooms Fluorescence Indocyanine Green Humans Artificial Intelligence
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Signal-to-signal neural networks for improved spike estimation from calcium imaging data.

PLoS computational biology Mar 1, 2021
Spiking information of individual neurons is essential for functional and behavioral analysis in neuroscience research. Calcium imaging techniques are generally employed to obtain activities of neuronal populations. However, these techniques result i...
Fluorescence Neural Networks, Computer Models, Neurological Algorithms Action Potentials Calcium
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Pre-Trained Deep Convolutional Neural Network for Clostridioides Difficile Bacteria Cytotoxicity Classification Based on Fluorescence Images.

Sensors (Basel, Switzerland) Nov 24, 2020
infection (CDI) is an enteric bacterial disease that is increasing in incidence worldwide. Symptoms of CDI range from mild diarrhea to severe life-threatening inflammation of the colon. While antibiotics are standard-of-care treatments for CDI, they...
Humans Neural Networks, Computer Machine Learning Fluorescence Clostridioides difficile Clostridioides
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An annotated fluorescence image dataset for training nuclear segmentation methods.

Scientific data Aug 11, 2020
Fully-automated nuclear image segmentation is the prerequisite to ensure statistically significant, quantitative analyses of tissue preparations,applied in digital pathology or quantitative microscopy. The design of segmentation methods that work ind...
Humans Machine Learning Image Processing, Computer-Assisted Algorithms Microscopy, Fluorescence Fluorescence
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