An automated Bayesian pipeline for rapid analysis of single-molecule binding data
Analysis of single-molecule binding assays still requires substantial manual user intervention. Here, the authors present a pipeline for rapid, automated analysis of co-localization single-molecule spectroscopy images, with a modular user interface that can be adjusted to a range of experimental con...
Main Authors: | Carlas S. Smith, Karina Jouravleva, Maximiliaan Huisman, Samson M. Jolly, Phillip D. Zamore, David Grunwald |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2019-01-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-08045-5 |
Similar Items
-
Vision Beyond Optics: Standardization, Evaluation and Innovation for Fluorescence Microscopy in Life Sciences
by: Huisman, Maximiliaan
Published: (2019) -
Telomere-driven chromosome instability impacts the genetic program through genome-wide epigenetic reprogramming
by: Jouravleva, Karina
Published: (2015) -
Automated single-molecule imaging in living cells
by: Masato Yasui, et al.
Published: (2018-08-01) -
DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning
by: Johannes Thomsen, et al.
Published: (2020-11-01) -
Single Molecule Junction Conductance and Binding Geometry
by: Kamenetska, Maria
Published: (2012)