ZeroCostDL4Mic - DeepSTORM training and example dataset
Christophe Leterrier, Romain F. Laine · Zenodo (CERN European Organization for Nuclear Research) · 2020
Name: ZeroCostDL4Mic - DeepSTORM training and example dataset (see our Wiki for details) Data type: Time-series of simulated, randomly distributed single-molecule localization (SMLM) data (Training dataset). Experimental time-series dSTORM acquisition of Glial cells stained with phalloidin for actin (Example dataset). Microscopy data type: Simulated SMLM and experimental dSTORM super-resolution microscopy data. The experimental dataset was temporally binned in groups of 4 (BIN4) or 10 (BIN10) consecutive time frames in order to simulate higher density of emitters. Microscope: Nikon N-STORM Cell type: Glial cell in a culture of rat hippocampal neurons, fixed and stained with phalloidin-Alexa Fluor 647. File format: .tif (16-bit or 32-bit) Image size: 64x64 px (160 nm / pixel), 20 frames (Training dataset), 256 x 256 px (160 nm / pixel), 14,975 frames (Example dataset) Author(s): Christophe Leterrier1,2, Romain F. Laine3,4,5 Contact email: [email protected], [email protected] Affiliation(s): 1) Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, France 2) ORCID: 0000-0002-2957-2032 3) MRC-Laboratory for Molecular Cell Biology. University College London, London, UK 4) The Francis Crick Institute, London, UK 5) ORCID: 0000-0002-2151-4487 Associated publications: Unpublished Funding bodies: C.L. acknowledges CNRS ATIP-AO2016. R.F.L. acknowledges a MRC Skills development fellowship (MR/T027924/1).