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Software . 2020
License: https://www.gnu.org/licenses/agpl.txt
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Software . 2020
License: https://www.gnu.org/licenses/agpl.txt
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LinkedView: A Fiji/ImageJ Plugin for Visualisation and Annotation of Correlative Images

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Aug 2020Publisher:Zenodo
Authors: Elaine M. L. Ho; Orestis L. Katsamenis; Gareth J. Thomas; Peter M. Lackie; Philipp Schneider;

doi: 10.5281/zenodo.3996280 , 10.5281/zenodo.3996281

LinkedView: A Fiji/ImageJ Plugin for Visualisation and Annotation of Correlative Images

Abstract

LinkedView is a Fiji/ImageJ plugin for intuitive visualisation and shared annotation of correlative image datasets. Users can interactively explore matching regions in correlative images, annotate these images and transfer annotations between imaging modalities. The annotated regions can be saved individually.

This study was supported by the Engineering and Physical Sciences Research Council (EPSRC), UK and the Institute for Life Sciences, University of Southampton, UK.

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Keywords

visualisation, annotation, correlative imaging

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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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