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Sample dataset - cont-3D-snGFR

Authors: Friederike Kessel; Hannah Kröger; Christian Hugo;

Sample dataset - cont-3D-snGFR

Abstract

This dataset provides samples (and suggested annotations plus results) to test and check the workflow for the continuous measurement of snGFR with volume modelling a z-stack of a proximal tubulus [1]. A detailed description of the algorithm used for this analysis is linked to the GitHub release of "cont-3D-snGFR" of the AG Hugo, Experimental Nephrology in the Department of Internal Medicine of the University Clinic Carl Gustav Carus at the Technische Universtität Dresden. [1] Kessel, F., Kröger, H. & Hugo, C. Continuous analysis of single nephron GFR. doi:10.5281/zenodo.4059549 (2020). Dataset1.lif contains additional sample files of 15 time series with their corresponding z-stacks. This dataset is published in the NEUBIAS gateway of F1000Research as extended data connected to the manuscript: Kessel F, Kröger H, Gerlach M et al. A new analysis approach for single nephron GFR in intravital microscopy of mice [version 1; peer review: awaiting peer review]. F1000Research 2020, 9:1372 (https://doi.org/10.12688/f1000research.26888.1)

Related Organizations
Keywords

kidney, intravital microscopy, snGFR, 2-photon microscopy

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selected citations
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This is an alternative to the "Influence" indicator, which also 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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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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