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ZENODO
Dataset . 2022
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: ZENODO
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Fast Improvement of TEM Images with Low-Dose Electrons by Deep Learning

Authors: Hiroyasu Katsuno; Yuki Kimura; Tomoya Yamazaki; Ichigaku Takigawa;

Fast Improvement of TEM Images with Low-Dose Electrons by Deep Learning

Abstract

This is a dataset of High-Dose-Electron (HDE) images and Low-Dose-Electron (LDE) images taken with a transmission electron microscopy used in H. Katsuno, Y. Kimura, T. Yamazaki and I Takigawa, Microsc. Microanal. 28 (2022), pp 138--144 (arXiv:2106.01718). There are two LDE images for each HDE image. cf) HDE image is 0001.tif and corresponding LDE images are 0002.tif and 0003.tif. Equipment of TEM: field-emission gun (JEM-2100F, JEOL, Tokyo) OneView IS (Gatan, Inc., Pleasanton, CA, USA) Typical magnification was 25,000x and 30,000x. HDE image The resolution was 4096 x 4096 pixels and its exposure time was 5 s. The typical total doses was 1010 e-. LDE image The resolution was 512 x 512 pixels and its exposure time was 3.3 ms. The typical total doses was 106 e-. Filename Material Total number of images Total number of a pair of HDE and LDE train1_Ni.zip Ni 336 224 train2_FeNi.zip FeNi 390 260 train3_SiC.zip SiC 210 140 train4_Silicate Silicate 264 176 train5_Alumina Alumina 300 200 val1_Ni.zip Ni 54 36 val2_FeNi.zip FeNi 60 40 val3_SiC.zip SiC 30 20 val4_Silicate Silicate 36 24 val5_Alumina Alumina 60 40 The ipynb file and model parameters for machine learning are located in the GitHub page.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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