Single-Molecule Localization Microscopy: Performing 3D Super-Resolution Reconstruction Using Open-Source Software
D. Sage, J. Ries, B. Lelandais
Proceedings of the 2019 Quantitative Bioimaging Conference (QBI'19), Rennes, French Republic, January 9-11, 2019, pp. 204.
The 3D SMLM reconstruction is a challenging computational task in term of performances, parametrization and runtime. The goal of this workshop is to present and to experiment some of the existing software solutions. We selected some software based on their usability and their accessibility (open-source) on ImageJ or Matlab. We will experiment software in four different modalities: 2D, astigmatism, double-helix, and biplane, both on simulated datasets and real datasets.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/sage1902.html,
AUTHOR="Sage, D. and Ries, J. and Lelandais, B.",
TITLE="Single-Molecule Localization Microscopy: {P}erforming {3D}
Super-Resolution Reconstruction Using Open-Source Software",
BOOKTITLE="2019 Quantitative {B}io{I}maging Conference ({QBIC'19})",
YEAR="2019",
editor="",
volume="",
series="",
pages="204",
address="Rennes, French Republic",
month="January 9-11,",
organization="",
publisher="",
note="paper no. 217")
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