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 .
Highlights
Zeitvogel, F and Obst, M 2016 ScatterJn: An ImageJ Plugin for Scatterplot-Matrix Analysis and Classification of Spatially Resolved Analytical Microscopy Data
We present ScatterJn, an ImageJ plugin for scatterplot-based exploration and analysis of analytical microscopy data
We demonstrate its functioning using a set of elemental maps acquired by scanning electron microscopy (SEM)-energy-dispersive X-ray spectroscopy (EDX) mapping of a soil sample
Summary
F and Obst, M 2016 ScatterJn: An ImageJ Plugin for Scatterplot-Matrix Analysis and Classification of Spatially Resolved Analytical Microscopy Data. ScatterJn: An ImageJ Plugin for Scatterplot-Matrix Analysis and Classification of Spatially Resolved Analytical Microscopy Data We present ScatterJn, an ImageJ (and Fiji) plugin for scatterplot-based exploration and analysis of analytical microscopy data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.