ScatterJn: An ImageJ Plugin for Scatterplot-Matrix Analysis and Classification of Spatially Resolved Analytical Microscopy Data

Authors

  • Fabian Zeitvogel Center for Applied Geosciences, University of Tuebingen
  • Martin Obst Bayreuth Center of Ecology and Environmental Research, Bayreuth University

DOI:

https://doi.org/10.5334/jors.89

Keywords:

data evaluation, scatterplot matrix, 2D histogram, classification, microscopy, ImageJ plugin

Abstract

We present ScatterJn, an ImageJ (and Fiji) plugin for scatterplot-based exploration and analysis of analytical microscopy data. In contrast to commonly used scatterplot tools, it handles more than two input images (or image stacks, respectively) by creating a matrix of pairwise scatterplots. The tool offers the possibility to manually classify pixels by selecting regions of datapoints in the scatterplots as well as in the spatial domain. We demonstrate its functioning using a set of elemental maps acquired by SEM-EDX mapping of a soil sample. The plugin is available at https://savannah.nongnu.org/projects/scatterjn.

Author Biographies

Fabian Zeitvogel, Center for Applied Geosciences, University of Tuebingen

PhD student

Martin Obst, Bayreuth Center of Ecology and Environmental Research, Bayreuth University

researcher

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Published

2016-02-03

Issue

Section

Software Metapapers