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ScatterJ : An ImageJ plugin for the evaluation of analytical microscopy datasets

Title data

Zeitvogel, Fabian ; Schmid, Gregor ; Hao, Likai ; Ingino, Pablo ; Obst, Martin:
ScatterJ : An ImageJ plugin for the evaluation of analytical microscopy datasets.
In: Journal of Microscopy. Vol. 261 (2016) Issue 2 . - pp. 148-156.
ISSN 1365-2818
DOI: https://doi.org/10.1111/jmi.12187

Abstract in another language

We present ScatterJ, an ImageJ plugin that allows for extracting qualitative as well as quantitative information from analytical microscopy datasets. A large variety of analytical microscopy methods are used to obtain spatially resolved chemical information. The resulting datasets are often large and complex, and can contain information that is not obvious or directly accessible. ScatterJ extends and complements existing methods to extract information on correlation and colocalization from pairs of species-specific or element-specific maps. We demonstrate the possibilities to extract information using example datasets from biogeochemical studies, although the plugin is not restricted to this type of research. The information that we could extract from our existing data helped to further our understanding of biogeochemical processes such as mineral formation or heavy metal sorption. ScatterJ can be used for a variety of different two-dimensional (2D) and three-dimensional (3D) datasets such as energy-dispersive X-ray spectroscopy maps, 3D confocal laser scanning microscopy maps, and 2D scanning transmission X-ray microscopy maps.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER135302
Institutions of the University: Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 16 Aug 2016 08:07
Last Modified: 16 Aug 2016 08:07
URI: https://eref.uni-bayreuth.de/id/eprint/33953