scholarly journals Genetic Code Expansion Enables Live-Cell and Super-Resolution Imaging of Site-Specifically Labeled Cellular Proteins

2015 ◽  
Vol 137 (14) ◽  
pp. 4602-4605 ◽  
Author(s):  
Chayasith Uttamapinant ◽  
Jonathan D. Howe ◽  
Kathrin Lang ◽  
Václav Beránek ◽  
Lloyd Davis ◽  
...  
Keyword(s):  
Genetic Code ◽  
Super Resolution ◽  
Live Cell ◽  
Cellular Proteins ◽  
Resolution Imaging ◽  
Genetic Code Expansion

scholarly journals Correction to “Genetic Code Expansion Enables Live-Cell and Super-Resolution Imaging of Site-Specifically Labeled Cellular Proteins”

2018 ◽  
Vol 140 (42) ◽  
pp. 13986-13986
Author(s):  
Chayasith Uttamapinant ◽  
Jonathan D. Howe ◽  
Kathrin Lang ◽  
Václav Beránek ◽  
Lloyd Davis ◽  
...  
Keyword(s):  
Genetic Code ◽  
Super Resolution ◽  
Live Cell ◽  
Cellular Proteins ◽  
Resolution Imaging ◽  
Genetic Code Expansion

Instant Live-Cell Super-Resolution Imaging of Cellular Structures by Nanoinjection of Fluorescent Probes

Nano Letters ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 1374-1381 ◽  
Author(s):  
Simon Hennig ◽  
Sebastian van de Linde ◽  
Martina Lummer ◽  
Matthias Simonis ◽  
Thomas Huser ◽  
...  
Keyword(s):  
Fluorescent Probes ◽  
Super Resolution ◽  
Live Cell ◽  
Cellular Structures ◽  
Resolution Imaging

Live-Cell Super-Resolution Imaging with Synthetic Fluorophores

2012 ◽  
Vol 63 (1) ◽  
pp. 519-540 ◽  
Author(s):  
Sebastian van de Linde ◽  
Mike Heilemann ◽  
Markus Sauer
Keyword(s):  
Super Resolution ◽  
Live Cell ◽  
Resolution Imaging

scholarly journals Cover Picture: Debugging Eukaryotic Genetic Code Expansion for Site-Specific Click-PAINT Super-Resolution Microscopy (Angew. Chem. Int. Ed. 52/2016)

2016 ◽  
Vol 55 (52) ◽  
pp. 15931-15931
Author(s):  
Ivana Nikić ◽  
Gemma Estrada Girona ◽  
Jun Hee Kang ◽  
Giulia Paci ◽  
Sofya Mikhaleva ◽  
...  
Keyword(s):  
Genetic Code ◽  
Super Resolution ◽  
Site Specific ◽  
Genetic Code Expansion ◽  
Super Resolution Microscopy

Live cell super resolution imaging by radial fluctuations using fluorogen binding tags

Nanoscale ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 3626-3632 ◽  
Author(s):  
Muthukumaran Venkatachalapathy ◽  
Vivek Belapurkar ◽  
Mini Jose ◽  
Arnaud Gautier ◽  
Deepak Nair
Keyword(s):  
Super Resolution ◽  
Time Lapse ◽  
Live Cell ◽  
Resolution Imaging

Combination of SRRF and stochastic labeling based on FAST:Fluorogen complexes to achieve super-resolution in 2D, 3D and in time-lapse.

scholarly journals Debugging Eukaryotic Genetic Code Expansion for Site‐Specific Click‐PAINT Super‐Resolution Microscopy

2016 ◽  
Vol 55 (52) ◽  
pp. 16172-16176 ◽  
Author(s):  
Ivana Nikić ◽  
Gemma Estrada Girona ◽  
Jun Hee Kang ◽  
Giulia Paci ◽  
Sofya Mikhaleva ◽  
...  
Keyword(s):  
Genetic Code ◽  
Super Resolution ◽  
Site Specific ◽  
Genetic Code Expansion ◽  
Super Resolution Microscopy

scholarly journals FluoSim: simulator of single molecule dynamics for fluorescence live-cell and super-resolution imaging of membrane proteins

2020 ◽  
Author(s):  
Matthieu Lagardère ◽  
Ingrid Chamma ◽  
Emmanuel Bouilhol ◽  
Macha Nikolski ◽  
Olivier Thoumine
Keyword(s):  
Real Time ◽  
Protein Dynamics ◽  
Single Molecule ◽  
Imaging Techniques ◽  
Simulated Data ◽  
Super Resolution ◽  
Molecular Complexes ◽  
Live Cell ◽  
Single Molecule Level ◽  
Resolution Imaging

AbstractFluorescence live-cell and super-resolution microscopy methods have considerably advanced our understanding of the dynamics and mesoscale organization of macro-molecular complexes that drive cellular functions. However, different imaging techniques can provide quite disparate information about protein motion and organization, owing to their respective experimental ranges and limitations. To address these limitations, we present here a unified computer program that allows one to model and predict membrane protein dynamics at the ensemble and single molecule level, so as to reconcile imaging paradigms and quantitatively characterize protein behavior in complex cellular environments. FluoSim is an interactive real-time simulator of protein dynamics for live-cell imaging methods including SPT, FRAP, PAF, and FCS, and super-resolution imaging techniques such as PALM, dSTORM, and uPAINT. The software, thoroughly validated against experimental data on the canonical neurexin-neuroligin adhesion complex, integrates diffusion coefficients, binding rates, and fluorophore photo-physics to calculate in real time the distribution of thousands of independent molecules in 2D cellular geometries, providing simulated data of protein dynamics and localization directly comparable to actual experiments.

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