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Semi-automated 3D segmentation of human skeletal muscle using Focused Ion Beam-Scanning Electron Microscopic images (1 of 6)

descriptionPublicationkeyboard_double_arrow_right Article 23 Mar 2019Publisher:Zenodo
Authors: Caffrey, Brian J; Maltsev, Alexander; Gonzalez-Freire, Marta; Hartnell, Lisa M.; Ferrucci, Luigi; Subramaniam, Sriram;

doi: 10.5281/zenodo.5873883 , 10.5281/zenodo.5873882

Semi-automated 3D segmentation of human skeletal muscle using Focused Ion Beam-Scanning Electron Microscopic images (1 of 6)

Abstract

Human skeletal muscle biopsies imaged using FIB-SEM of 10 individuals with ages ranging from 22 to 81 years old, standardized and mitochondrial segmentation files are in the first of 6 datasets. Corresponding original resolution raw files are in the other five datasets.

Related Organizations
Keywords

Machine Learning, Ageing, Segmentation, Human Skeletal Muscle, FIB-SEM, Mitochondria

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popularity
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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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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