DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning

DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning

Single-molecule Förster Resonance energy transfer (smFRET) is an adaptable method for studying the structure and dynamics of biomolecules. The development of high throughput methodologies and the growth of commercial instrumentation have outpaced the development of rapid, standardized, and automated...

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Bibliographic Details
Main Authors: Johannes Thomsen, Magnus Berg Sletfjerding, Simon Bo Jensen, Stefano Stella, Bijoya Paul, Mette Galsgaard Malle, Guillermo Montoya, Troels Christian Petersen, Nikos S Hatzakis
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-11-01
Series:eLife
Subjects:
single molecule
FRET
biophysics
deep learning
microscopy
Online Access:https://elifesciences.org/articles/60404

Internet

https://elifesciences.org/articles/60404

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