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: 10.4121/21313230

Kalisvaart, Dylan; Hung, Shih-Te; Smith, Carlas (2024): Data underlying the publication: Quantifying the minimum localization uncertainty of image scanning localization microscopy. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21313230.v1

Dataset

• Optical Physics
• Physical Sciences

Cramer-Rao Lower Bound, CRLB, ISM, meSMLM, MINFLUX, Minimum uncertainty, Modulation Enhanced Localization Microscopy, Precision, SIM, SIMFLUX, Single Molecule Localization, Single Molecule Localization Microscopy, SMLM, Spinning disk, spinning disk confocal microscopy, Super-resolution microscopy

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Dylan Kalisvaart , Shih-Te Hung, Carlas Smith

General information

This simulation data belongs to the article:

Quantifying the minimum localization uncertainty of image scanning localization microscopy

DOI: https://doi.org/10.1016/j.bpr.2024.100143

This information is also available in README.txt, included in this repository. For a comprehensive description of the data, please refer to the readme.

Code availability

The simulation code underlying the article can be found at:

https://github.com/qnano/spinflux-crlb

Using existing data

This section describes how to use the simulation data in this repository to reproduce results.

1. Create a directory "/spinflux-crlb/SimData/".
2. Download SimData.zip from this repository. SimData.zip contains all simulation data underlying the publication.
3. Extract SimData.zip to the directory "/spinflux-crlb/SimData/".
4. Follow the instructions on reproducing the figures on https://github.com/qnano/spinflux-crlb.

• 2024-01-30 first online, published, posted

4TU.ResearchData

Simulated data in zipped .npy files

Quantifying the minimum localization uncertainty of image scanning localization microscopy

• NWO START-UP project no. 740.018.015
• NWO Veni project no. 16761

TU Delft, Faculty of Mechanical Engineering, Delft Center for Systems and Control;
TU Delft, Faculty of Applied Sciences, Department of Imaging Physics