Articles | Volume 16, issue 6
https://doi.org/10.5194/cp-16-2415-2020
https://doi.org/10.5194/cp-16-2415-2020
Technical note
 | 
02 Dec 2020
Technical note |  | 02 Dec 2020

Technical note: A new automated radiolarian image acquisition, stacking, processing, segmentation and identification workflow

Martin Tetard, Ross Marchant, Giuseppe Cortese, Yves Gally, Thibault de Garidel-Thoron, and Luc Beaufort

Data sets

The AutoRadio Database M. Tetard, R. Marchant, G. Cortese, Y. Gally, T. de Garidel-Thoron, and L. Beaufort http://microautomate.cerege.fr/dat

Model code and software

AutoRadio_Segmenter, a free ImageJ plugin for image segmentation M. Tetard and R. Marchant https://github.com/microfossil/ImageJ-LabView-Scripts

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Short summary
Radiolarians are marine micro-organisms that produce a siliceous shell that is preserved in the fossil record and can be used to reconstruct past climate variability. However, their study is only possible after a time-consuming manual selection of their shells from the sediment followed by their individual identification. Thus, we develop a new fully automated workflow consisting of microscopic radiolarian image acquisition, image processing and identification using artificial intelligence.