AIMC Topic: Fluorescent Dyes
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Top-down machine learning approach for high-throughput single-molecule analysis.
eLife
Apr 8, 2020
Single-molecule approaches provide enormous insight into the dynamics of biomolecules, but adequately sampling distributions of states and events often requires extensive sampling. Although emerging experimental techniques can generate such large dat...
Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.
International journal of molecular sciences
Mar 27, 2020
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection ...
A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.
Analytica chimica acta
Dec 24, 2019
Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelength emission was benefit for accurate detection of hypoxic status, which was known as a major factor of the tumor physiology and influence important pat...
Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning.
PloS one
Dec 2, 2019
Due to the overlapping emission spectra of fluorophores, fluorescence microscopy images often have bleed-through problems, leading to a false positive detection. This problem is almost unavoidable when the samples are labeled with three or more fluor...
Inexpensive robotic system for standard and fluorescent imaging of protein crystals.
Acta crystallographica. Section F, Structural biology communications
Nov 5, 2019
Protein-crystallization imaging and classification is a labor-intensive process typically performed either by humans or by instruments that currently cost well over $100 000. This cost puts the use of crystallization-trial imaging outside the reach o...
Automated Stoichiometry Analysis of Single-Molecule Fluorescence Imaging Traces via Deep Learning.
Journal of the American Chemical Society
Apr 18, 2019
The stoichiometry of protein complexes is precisely regulated in cells and is fundamental to protein function. Singe-molecule fluorescence imaging based photobleaching event counting is a new approach for protein stoichiometry determination under phy...
Near-infrared mito-specific fluorescent probe for ratiometric detection and imaging of alkaline phosphatase activity with high sensitivity.
Journal of materials chemistry. B
Dec 19, 2018
Fluorescent probe-based analytical methods for biological species have gained increasing attention for their powerful detection and imaging capabilities. However, it is still occasionally problematic for accurate analyses due to the influence of the ...
Dopamine-functionalized upconversion nanoparticles as fluorescent sensors for organophosphorus pesticide analysis.
Talanta
Nov 30, 2018
Organophosphorus pesticide (OP) residues in agricultural products, herbal medicines and environment have attracted increasing concerns because they cause high healthy risk. Herein, a tyrosinase-mediated photoinduced electron transfer system was const...
Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.
PLoS computational biology
Nov 30, 2018
Toxicity is an important factor in failed drug development, and its efficient identification and prediction is a major challenge in drug discovery. We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction...
Rapid Quantification of Protein Particles in High-Concentration Antibody Formulations.
Journal of pharmaceutical sciences
Oct 27, 2018
Current technologies for monitoring the subvisible particles that may be generated during fill-finish operations for protein formulations are cumbersome. Measurement times are generally too long for real-time analysis, and the high protein concentrat...
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