AIMC Topic: Fluorescence
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Sensitive detection of DNA methyltransferase using the dendritic rolling circle amplification-induced fluorescence.
Analytica chimica acta
Dec 27, 2016
The analysis of DNA methylation and MTase activities is very important in the early clinical diagnosis of cancer, on purposes of providing insights into the mechanism of gene repression and developing novel drugs of treating methylation-related disea...
Combined thioflavin T-Congo red fluorescence assay for amyloid fibril detection.
Methods and applications in fluorescence
Sep 6, 2016
Fluorescence represents one of the most powerful tools for the detection and structural characterization of the pathogenic protein aggregates, amyloid fibrils. The traditional approaches to the identification and quantification of amyloid fibrils are...
Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.
Scientific reports
Jun 28, 2016
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...
Oil species identification technique developed by Gabor wavelet analysis and support vector machine based on concentration-synchronous-matrix-fluorescence spectroscopy.
Marine pollution bulletin
Jan 13, 2016
Concentration-synchronous-matrix-fluorescence (CSMF) spectroscopy was applied to discriminate the oil species by characterizing the concentration dependent fluorescence properties of petroleum related samples. Seven days weathering experiment of 3 cr...
Dual-mode nanosensor for sensitive detection of methotrexate based on fluorescence technology and deep learning algorithms.
Analytica chimica acta
Aug 8, 2025
BACKGROUND: Methotrexate (MTX) in the body can result in severe, potentially life-threatening side effects. As a result, it is imperative to establish a dependable, precise, and specific method for detecting MTX. However, conventional sensors often s...
Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging.
Journal of the American Chemical Society
Jul 2, 2025
Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a sample's microenvironment. However, data collection and interpretation are often challenging, and traditional methods ...
Machine Learning-Driven Multi-Emission Fluorescence Array for Simultaneous Size Discrimination and Quantification of Gold Nanoparticles.
Analytical chemistry
Jul 1, 2025
Gold nanoparticles (AuNPs) exhibit size-dependent environmental behaviors and bioaccumulation risks, necessitating precise characterization of their hydrodynamic dimensions and concentrations for toxicity assessment. Existing analytical platforms are...
Machine learning-assisted ratiometric fluorescence sensor array for recognition of multiple quinolones antibiotics.
Food chemistry
Jun 30, 2025
Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial for environmental protection and human health. In this study, a dual lanthanide fluorescence probe (GDP-Eu-Tb) based on nucleotides has been designed....
Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference.
ACS sensors
Jun 27, 2025
Regarding the significant health risks of pesticide residue in foods, while current sensors still suffer from limited efficiency and stability, as well as difficulties in qualitative identification and quantitative detection of mixtures, development ...
A multimodal deep learning model for detecting endoscopic images of near-infrared fluorescence capsules.
Biosensors & bioelectronics
Jun 15, 2025
Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. With the rapid advancement of deep learning technology, artificial intelligence (AI) has become increasingly prominent in the early detection of GI dise...
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