Length and width measurements of Fragilariopsis kerguelensis valves from sediment core PS1768-8

DOI

Light microscopy analysis of diatom frustules is widely used in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. Although there is a need for automation in these applications, various developments in image processing and analysis methodology supporting these tasks have not become widespread in diatom-based analyses. We have addressed this issue by combining our automated diatom image analysis software SHERPA with a commercial slide-scanning microscope. The resulting workflow enables mass-analyses of a broad range of morphometric features from individual frustules mounted on permanent slides. Extensive automation and internal quality control of the results helps to minimize user intervention, but care was taken to allow the user to stay in control of the most critical steps (exact segmentation of valve outlines and selection of objects of interest) using interactive functions for reviewing and revising results. In this contribution, we describe our workflow and give an overview of factors critical for success, ranging from preparation and mounting through slide scanning and autofocus finding to final morphometric data extraction.To demonstrate the usability of our methods we finally provide an example application by analysing Fragilariopsis kerguelensis valves originating from a sediment core, which substantially extends the size range reported in the literature.

Supplement to: Kloster, Michael; Esper, Oliver; Kauer, Gerhard; Beszteri, Bánk (2017): Large scale permanent slide imaging and image analysis for diatom morphometrics. Applied Sciences, 7(4), 330

Identifier
DOI https://doi.org/10.1594/PANGAEA.873993
Related Identifier IsSupplementTo https://doi.org/10.3390/app7040330
Related Identifier References https://doi.org/10.1594/PANGAEA.833665
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.873993
Provenance
Creator Kloster, Michael ORCID logo; Esper, Oliver ORCID logo; Kauer, Gerhard; Beszteri, Bánk ORCID logo
Publisher PANGAEA
Publication Year 2017
Funding Reference German Research Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 5472008 https://gepris.dfg.de/gepris/projekt/5472008 Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Rights Creative Commons Attribution 3.0 Unported; https://creativecommons.org/licenses/by/3.0/
OpenAccess true
Representation
Resource Type Supplementary Dataset; Dataset
Format text/tab-separated-values
Size 83013 data points
Discipline Earth System Research
Spatial Coverage (4.476 LON, -52.593 LAT); Shona Ridge