Data underlying the publication: Single Image Fourier Ring Correlation

doi: 10.4121/3f285c07-93c0-4a8a-bbcd-bc60ed749c88.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: 10.4121/3f285c07-93c0-4a8a-bbcd-bc60ed749c88
Datacite citation style:
Rieger, B. (Bernd); Stallinga, S. (Sjoerd) (2024): Data underlying the publication: Single Image Fourier Ring Correlation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3f285c07-93c0-4a8a-bbcd-bc60ed749c88.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset pertains to a research project on Single image Fourier Ring Correlation. The goal of the research is to assess image resolution for (super-resolution) light microscopy with Fourier Ring Correlation (FRC) based on a single image acquisition, both for scanning and camera based image modalities. This improves the state-of-the-art, which is based on two noise independent image acquisitions. Single image FRC ("1FRC") is made possible because data governed by Poissonian shot noise statistics can be split in two noise independent data halves by applying a random binomial data splitting procedure. The new method is demonstrated on the image data files in this dataset (see README.txt for further information).

history
  • 2024-03-28 first online, published, posted
publisher
4TU.ResearchData
format
the files are mainly image data files, specifically image/ics, image/ome.tif, image/lif, image/czi, image/nd2, image/mrcs, there are also additional files containing processed data in Matlab, format data/mat
funding
  • VICI Bernd Rieger (grant code 17046) Dutch Research Council (NWO)
  • ERC Advanced Grant Sjoerd Stallinga (grant code 101055013) European Research Council
organizations
TU Delft, Faculty of Applied Sciences, Department of Imaging Physics

DATA

files (75)