AERYN: A simple standalone application for visualizing and enhancing elemental maps. (December 2016)

• Record Type: Journal Article
• Authors: Mouchi, Vincent; Crowley, Quentin G.; Ubide, Teresa
• Is Part Of: Applied geochemistry. Volume 75(2016:Dec.)
• Page Start: 44
• Page End: 53
• Publication Date: 2016-12
• Subjects: LA-ICP-MS -- EDS -- WDS -- Element distribution maps -- Processing -- Matlab -- Biominerals; Environmental geochemistry -- Periodicals; Water chemistry -- Periodicals; Geochemistry -- Social aspects -- Periodicals; Geochemistry -- Periodicals; 551.9
• DOI: 10.1016/j.apgeochem.2016.10.012
• Languages: English
• ISSNs: 0883-2927

Abstract

Abstract: Interpretation of high spatial resolution elemental mineral maps can be hindered by high frequency fluctuations, as well as by strong naturally-occurring or analytically-induced variations. We have developed a new standalone program named AERYN (Aspect Enhancement by Removing Yielded Noise) to produce more reliable element distribution maps from previously reduced geochemical data. The program is Matlab-based, designed with a graphic user interface and is capable of rapidly generating elemental maps from data acquired by a range of analytical techniques. A visual interface aids selection of appropriate outlier rejection and drift-correction parameters, thereby facilitating recognition of subtle elemental fluctuations which may otherwise be obscured. Examples of use are provided for quantitative trace element maps acquired using both laser ablation (LA-) ICP-MS and electron probe microanalysis (EPMA) of the cold-water coral Lophelia pertusa . We demonstrate how AERYN allows recognition of high frequency elemental fluctuations, including those which occur perpendicular to the maximum concentration gradient. Such data treatment compliments commonly used processing methods to provide greater flexibility and control in producing elemental maps from micro-analytical techniques. Highlights: Matlab-based application to improve visualization of elemental maps. Capable of detrending when data set shows drift. Compatible with processed data text files from LA-ICP-MS, EDS and EPMA. Option to filter geochemical trends to observe high-frequency fluctuations.