Single-Molecule Localization Microscopy (SMLM) 2D TU Delft logos datasets
1. Introductory information
The datasets 'tud_XXXparticles_dolYY.mat' contain localization microscopy data
(list of coordinates) of TUD logo DNA-origmai nanostructures imaged using PAINT
technique. Each dataset with the mentioned naming convention contains XXX logos
or particles with density of labeling (dol) of YY.
The files are MATLAB .mat files that can be opened using any version of
Mathworks MATLAB software.
For further questions you can contact:
Hamidreza Heydarian or and
Bernd Rieger and
Sjoerd Stallinga
2. Methodological information
All the information regarding data acquisition, collection and analysis can be
found on the following papers:
1. Heydarian, H. et al. Template-Free 2D Particle Fusion in Localization
Microscopy. Nat. Meth. (2018).
2. Schnitzbauer, J., Strauss, M. T., Schlichthaerle, T., Schueder, F. &
Jungmann, R. Super-resolution microscopy with DNA-PAINT. Nat. Prot. 12, 1198–
1228 (2017).
3. Data specific information
Each dataset contains a cell array of particles. When loaded in MATLAB, you can
access each individual particle using the variable particles{1,index}. Each
cell in this array is a MATLAB structure with two fields: points and sigma. The
first field, i.e. particles{1,index}.points is an Nx2 array containing N
localization data (x and y) in camera pixel unit. The second field, i.e.
particles{1,index}.sigma which is an Nx1 array contains the localization
uncertainties in camera pixel unit. The localization uncertainties are isotropic
in lateral direction therefore sigma_x = sigma_y.
The unit of all variables in these dataset is camera pixel unit and the camera
pixel size is 130 nanometer.
4. Sharing and Access information
This dataset is made available under the Attribution-NonCommercial license
CC BY-NC.