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Jonas Ries

Nature methods

Showing results (1-10 of 17) with videos related to

Pageof 2
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Nature Methods|August 21, 2020
SMAP: a modular super-resolution microscopy analysis platform for SMLM dataJonas Ries
Nature Methods|May 1, 2012
A simple, versatile method for GFP-based super-resolution microscopy via nanobodiesJonas Ries, Charlotte Kaplan, Evgenia Platonova, et al.
Nature Methods|August 4, 2009
Modular scanning FCS quantifies receptor-ligand interactions in living multicellular organismsJonas Ries, Shuizi Rachel Yu, Markus Burkhardt, et al.
Nature Methods|August 19, 2020
Optimizing imaging speed and excitation intensity for single-molecule localization microscopyRobin Diekmann, Maurice Kahnwald, Andreas Schoenit, et al.
Nature Methods|December 15, 2022
Maximum-likelihood model fitting for quantitative analysis of SMLM dataYu-Le Wu, Philipp Hoess, Aline Tschanz, et al.
Nature Methods|January 15, 2020
MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cellsKlaus C Gwosch, Jasmin K Pape, Francisco Balzarotti, et al.
Nature Methods|April 10, 2018
Real-time 3D single-molecule localization using experimental point spread functionsYiming Li, Markus Mund, Philipp Hoess, et al.
Nature Methods|December 15, 2022
Reply to: Assessment of 3D MINFLUX data for quantitative structural biology in cellsKlaus C Gwosch, Francisco Balzarotti, Jasmin K Pape, et al.
Nature Methods|September 4, 2021
Deep learning enables fast and dense single-molecule localization with high accuracyArtur Speiser, Lucas-Raphael Müller, Philipp Hoess, et al.
Nature Methods|September 22, 2021
Publisher Correction: Deep learning enables fast and dense single-molecule localization with high accuracyArtur Speiser, Lucas-Raphael Müller, Philipp Hoess, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Nature Methods|August 21, 2020
SMAP: a modular super-resolution microscopy analysis platform for SMLM dataJonas Ries
Nature Methods|May 1, 2012
A simple, versatile method for GFP-based super-resolution microscopy via nanobodiesJonas Ries, Charlotte Kaplan, Evgenia Platonova, et al.
Nature Methods|August 4, 2009
Modular scanning FCS quantifies receptor-ligand interactions in living multicellular organismsJonas Ries, Shuizi Rachel Yu, Markus Burkhardt, et al.
Nature Methods|August 19, 2020
Optimizing imaging speed and excitation intensity for single-molecule localization microscopyRobin Diekmann, Maurice Kahnwald, Andreas Schoenit, et al.
Nature Methods|December 15, 2022
Maximum-likelihood model fitting for quantitative analysis of SMLM dataYu-Le Wu, Philipp Hoess, Aline Tschanz, et al.
Nature Methods|January 15, 2020
MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cellsKlaus C Gwosch, Jasmin K Pape, Francisco Balzarotti, et al.
Nature Methods|April 10, 2018
Real-time 3D single-molecule localization using experimental point spread functionsYiming Li, Markus Mund, Philipp Hoess, et al.
Nature Methods|December 15, 2022
Reply to: Assessment of 3D MINFLUX data for quantitative structural biology in cellsKlaus C Gwosch, Francisco Balzarotti, Jasmin K Pape, et al.
Nature Methods|September 4, 2021
Deep learning enables fast and dense single-molecule localization with high accuracyArtur Speiser, Lucas-Raphael Müller, Philipp Hoess, et al.
Nature Methods|September 22, 2021
Publisher Correction: Deep learning enables fast and dense single-molecule localization with high accuracyArtur Speiser, Lucas-Raphael Müller, Philipp Hoess, et al.
Pageof 2