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ShareScore release 0.9.0
Dataset results
5 results for “STED microscopy”
Correlative microscopy of mice cerebellar Purkinje cells from 20x confocal tissue imaging to super-resolution 93x 3D STED of dendritic spines
<p>This Dataset concerns the paper entitled "<em>From tissues to segmentation: a modular framework for multi-scale neuron isolation</em>" by Cauzzo et al. <strong>Nature Comm (2024).</strong></p> <p>S.Cauzzo<sup>$</sup>, E. Bruno, D. Boulet, P. Nazac, M. Basile, A. L. Callara, F. Tozzi, A. Ahluwalia, C. Magliaro, L. Danglot<sup>$</sup><sup>*</sup>, N. Vanello<sup>$</sup><sup>*</sup> *shared senior authorship: Lydia.danglot@inserm.fr ; nicola.vanello@unipi.it</p> <p><sup>$</sup> corresponding authors : cauzzo.simone@gmail.com ; Lydia.danglot@inserm.fr ; nicola.vanello@unipi.it</p> <p> </p>
Correlative microscopy of rat cultured hippocampal pyramidal cell from 40x confocal imaging to super-resolution 93x 3D STED of dendritic spines
<p>This dataset contain multi-scale image of rat hippocampal pyramidal cell related to our paper "<em>From tissues to segmentation: a modular framework for multi-scale neuron isolation</em>" by Cauzzo et al. <strong>Nature Comm (2024).</strong></p>
Data and visualisation code from 'Effects and avoidance of photoconversion-induced artefacts in confocal and STED microscopy' by Dasgupta et al (2024)
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uploaded files: Correlative microscopy approach for biology using x-ray holography, x-ray scanning diffraction and STED microscopy
<p>The data uploaded here corresponds to a manuscript on x-ray /STED correlative imaging by the same authors published under the same title in Nature Communications in 2018.</p> <p>The provided data are subdivided into three parts:<br> 1. The 01_STED_fig2a.mat file contains the main results shown in Fig.2a (main article) as variables:<br> - STED_micrograph: the STED micrograph with each pixel representing single photon counts<br> - STED_dwell_time: the dwell time at each pixel position</p> <p>2. The 02_HOLO_fig2b.mat file contains the main results shown in Fig.2b (main article) as variables:<br> - I: the emptyimage devided, but not yet filtered hologram<br> - geo: a structure including the geometrical magnification M, the fresnel-number F, the waveguide-sample-distance z01, the sample-detector-distance z12, the effective propagation distance z_eff and the effective pixelsize dxeff<br> - lambda: the wavelength used for all x-ray experiments<br> - phi_raar: the reconstructed phasemap. Note, that for depicting the phase shifts, the matlab command angle(phi_raar) has to be used</p> <p>3. The 03_SCANNING_fig2c.mat file contains the main results shown in Fig.2c (main article) and Fig.4 (inset) as variables:<br> - darkfield: the x-ray dark field map of the scan area<br> - sSAXS_dwell_time: the dwell time for each scan point<br> - mask: the dark field mask applied on the diffraction patterns<br> - single_diff_image: a single diffraction pattern</p>
Analysis of RNA polymerase II phosphorylation in two-color STED microscopy images
<p>This data set includes the raw image data and MatLab analysis scripts to assess the relative distribution of RNA polymerase II C-terminal domain serine 5 and serine 2 phosphorylation in zebrafish embryos. Phosphorylated polymerase II was labeled by immunofluorescence, microscopy images were acquired by STED microscopy and analyzed using MatLab scripts. This extended version now contains image data and analysis scripts to two alternative sets of antibodies.</p>
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