AIMC Topic: Carbocyanines
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Analyzing protein dynamics from fluorescence intensity traces using unsupervised deep learning network.
Communications biology
Nov 12, 2020
We propose an unsupervised deep learning network to analyze the dynamics of membrane proteins from the fluorescence intensity traces. This system was trained in an unsupervised manner with the raw experimental time traces and synthesized ones, so nei...
Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.
Scientific reports
Sep 1, 2020
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discrim...
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 ...
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