ZeroCostDL4Mic - DeepSTORM training and example dataset
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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: christophe.leterrier@univ-amu.fr, r.laine@ucl.ac.uk
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Associated publications: Unpublished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).
创建时间：
2020-07-25
