AIMC Topic: Fluorescent Dyes

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Cost-efficient training of hyperspectral deep learning models for the detection of contaminating grains in bulk oats by fluorescent tagging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 4, 2025
Computer vision based on instance segmentation deep learning models offers great potential for automating many visual inspection tasks, such as the detection of contaminating grains in bulk oats, a nutrient rich grain which is well-tolerated by peopl...
Avena Edible Grain Hyperspectral Imaging Food Contamination Fluorescent Dyes Deep Learning
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Deep Learning and Single-Molecule Localization Microscopy Reveal Nanoscopic Dynamics of DNA Entanglement Loci.

ACS nano Feb 4, 2025
Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temporal resolution of current imaging techniques. Deep learning integrated with Single-Molecule Localization Microscopy (SMLM) offers opportunities to pr...
Deep Learning DNA Kinetics Nanotechnology Single Molecule Imaging Fluorescent Dyes Microscopy, Fluorescence
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Machine Learning-Assisted Biomass-Derived Carbon Dots as Fluorescent Sensor Array for Discrimination of Warfarin and Its Metabolites.

Langmuir : the ACS journal of surfaces and colloids Jan 11, 2025
Warfarin (WAR), an effective oral anticoagulant, is of utmost importance in treating many diseases. Despite its significance, rapid and precise discrimination of WAR remains a formidable challenge, especially facing its structural analogs of metaboli...
Spectrometry, Fluorescence Fluorescent Dyes Warfarin Carbon Quantum Dots Machine Learning Biomass
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Machine Learning-Enhanced Bacteria Detection Using a Fluorescent Sensor Array with Functionalized Graphene Quantum Dots.

ACS applied materials & interfaces Jan 2, 2025
Pathogenic bacteria are the source of many serious health problems, such as foodborne diseases and hospital infections. Timely and accurate detection of these pathogens is of vital significance for disease prevention, control of epidemic spread, and ...
Bacteria Quantum Dots Fluorescent Dyes Machine Learning Biosensing Techniques Graphite
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Deep learning-enabled filter-free fluorescence microscope.

Science advances Jan 1, 2025
Optical filtering is an indispensable part of fluorescence microscopy for selectively highlighting molecules labeled with a specific fluorophore and suppressing background noise. However, the utilization of optical filtering sets increases the comple...
Fluorescent Dyes Microscopy, Fluorescence Deep Learning Humans Image Processing, Computer-Assisted Animals
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High-throughput point-of-care serum iron testing utilizing machine learning-assisted deep eutectic solvent fluorescence detection platform.

Journal of colloid and interface science Nov 17, 2024
In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was developed using a hydrophobic deep eutectic solvent (HDES) fluorescence detection platform. This machine learning-assisted portable platform enables ...
Solvents High-Throughput Screening Assays Spectrometry, Fluorescence Humans Iron Machine Learning Carbon Point-of-Care Systems Particle Size Point-of-Care Testing Fluorescence Fluorescent Dyes Quantum Dots Hydrophobic and Hydrophilic Interactions
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AI-driven precision subcellular navigation with fluorescent probes.

Journal of materials chemistry. B Nov 6, 2024
Precise navigation within intricate biological systems is pivotal for comprehending cellular functions and diagnosing diseases. Fluorescent molecular probes, designed to target specific biological molecules, are indispensable tools for this endeavor....
Animals Fluorescent Dyes Optical Imaging Humans Artificial Intelligence
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN).

Biomolecules Oct 23, 2024
With the recent surge in the development of highly selective probes, fluorescence microscopy has become one of the most widely used approaches to studying cellular properties and signaling in living cells and tissues. Traditionally, microscopy image ...
Calcium Animals Software Deep Learning Sodium Brain Fluorescent Dyes Image Processing, Computer-Assisted Signal-To-Noise Ratio Microscopy, Fluorescence Mice Neurons Astrocytes
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Deep learning permits imaging of multiple structures with the same fluorophores.

Biophysical journal Sep 3, 2024
Fluorescence microscopy, which employs fluorescent tags to label and observe cellular structures and their dynamics, is a powerful tool for life sciences. However, due to the spectral overlap between different dyes, a limited number of structures can...
Image Processing, Computer-Assisted Fluorescent Dyes Microscopy, Fluorescence Humans Deep Learning
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Perovskite Probe-Based Machine Learning Imaging Model for Rapid Pathologic Diagnosis of Cancers.

ACS nano Aug 20, 2024
Accurately distinguishing tumor cells from normal cells is a key issue in tumor diagnosis, evaluation, and treatment. Fluorescence-based immunohistochemistry as the standard method faces the inherent challenges of the heterogeneity of tumor cells and...
Oxides Titanium Neoplasms Humans Calcium Compounds Fluorescent Dyes Nanoparticles Machine Learning Optical Imaging
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