Supporting dataset for "Global correction of optical distortions in single-molecule microscopy using Zernike polynomial gradients"

doi:10.4121/17048552.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/17048552
Datacite citation style:
McCluskey, Kaley; Edo van Veen; Cnossen, Jelmer; Wesselink, Wouter; Asscher, Filip M et. al. (2021): Supporting dataset for "Global correction of optical distortions in single-molecule microscopy using Zernike polynomial gradients". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17048552.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The associated publication describes the use of a Python package, Naclib, to implement S/T Polynomial Decomposition (STPD) correction of single-molecule microscopy images.
The Naclib library is available on Gitlab (linked below).
The data in this repository allow recapitulation of the results in the publication, with some processing.
history
  • 2021-12-07 first online, published, posted
publisher
4TU.ResearchData
format
hdf5; yaml; tif
funding
  • ERC Advanced grant no. 789267, REPLICHROMA
  • NWO FOM grant no. 16PR1047
  • NWO VENI grant no. 16761
  • NWO START-UP grant no. 740.018.015
organizations
TU Delft, Faculty of Applied Sciences, Department of Bionanoscience
TU Delft, Center for Systems and Control
TU Delft, Department of Imaging Physics

DATA

files (13)