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

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

doi:https://doi.org/10.5194/cp-16-2415-2020

Articles | Volume 16, issue 6

https://doi.org/10.5194/cp-16-2415-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/cp-16-2415-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 6

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

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Final revised paper (published on 02 Dec 2020)
Supplement to the final revised paper
Preprint (discussion started on 09 Jul 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'review', David Lazarus, 21 Jul 2020
- AC1: 'Response to reviewer1' comments', Martin Tetard, 06 Aug 2020
RC2: 'Review', Thore Friesenhagen, 14 Aug 2020
- AC3: 'A new automated radiolarian image acquisition, stacking, processing, segmentation, and identification workflow', Martin Tetard, 26 Aug 2020
RC3: 'Review', Anonymous Referee #3, 19 Aug 2020
- AC2: 'A new automated radiolarian image acquisition, stacking, processing, segmentation, and identification workflow', Martin Tetard, 26 Aug 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (07 Sep 2020) by Pierre Francus

AR by Martin Tetard on behalf of the Authors (09 Sep 2020) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (18 Sep 2020) by Pierre Francus

AR by Martin Tetard on behalf of the Authors (22 Sep 2020) Author's response Manuscript

ED: Publish as is (05 Oct 2020) by Pierre Francus

AR by Martin Tetard on behalf of the Authors (09 Oct 2020) Manuscript

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.