Articles | Volume 45, issue 1
https://doi.org/10.5194/jm-45-405-2026
https://doi.org/10.5194/jm-45-405-2026
Research article
 | 
19 May 2026
Research article |  | 19 May 2026

Artificial intelligence applied to the automated detection and identification of Devonian miospores

Vitalina Lokteva, Vahram Serobyan, Martin Tetard, Pierre Breuer, and Taniel Danelian

Related authors

Cuticular microfragments from the lower Cambrian Yanjiahe Formation, China: insights into ecdysozoan biodiversity at the dawn of animal radiation
Lei Zhang, Fan Zhai, Ying Wu, Shan Chang, Yan Ye, Xianguo Lang, Yanchun Pang, Liang Hu, Qinglai Feng, Marie-Béatrice Forel, Taniel Danelian, Yuanyuan Yong, and Jean Vannier
J. Micropalaeontol., 45, 455–474, https://doi.org/10.5194/jm-45-455-2026,https://doi.org/10.5194/jm-45-455-2026, 2026
Short summary
Technical note: a Recognition-assisted Camera for Automated Microscopy (RaCAM)
Martin Tetard and Ross Marchant
EGUsphere, https://doi.org/10.5194/egusphere-2026-2075,https://doi.org/10.5194/egusphere-2026-2075, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Reviews and syntheses: Review of proxies for low-oxygen paleoceanographic reconstructions
Babette A.A. Hoogakker, Catherine Davis, Yi Wang, Stephanie Kusch, Katrina Nilsson-Kerr, Dalton S. Hardisty, Allison Jacobel, Dharma Reyes Macaya, Nicolaas Glock, Sha Ni, Julio Sepúlveda, Abby Ren, Alexandra Auderset, Anya V. Hess, Katrin J. Meissner, Jorge Cardich, Robert Anderson, Christine Barras, Chandranath Basak, Harold J. Bradbury, Inda Brinkmann, Alexis Castillo, Madelyn Cook, Kassandra Costa, Constance Choquel, Paula Diz, Jonas Donnenfield, Felix J. Elling, Zeynep Erdem, Helena L. Filipsson, Sebastián Garrido, Julia Gottschalk, Anjaly Govindankutty Menon, Jeroen Groeneveld, Christian Hallmann, Ingrid Hendy, Rick Hennekam, Wanyi Lu, Jean Lynch-Stieglitz, Lélia Matos, Alfredo Martínez-García, Giulia Molina, Práxedes Muñoz, Simone Moretti, Jennifer Morford, Sophie Nuber, Svetlana Radionovskaya, Morgan Reed Raven, Christopher J. Somes, Anja S. Studer, Kazuyo Tachikawa, Raúl Tapia, Martin Tetard, Tyler Vollmer, Xingchen Wang, Shuzhuang Wu, Yan Zhang, Xin-Yuan Zheng, and Yuxin Zhou
Biogeosciences, 22, 863–957, https://doi.org/10.5194/bg-22-863-2025,https://doi.org/10.5194/bg-22-863-2025, 2025
Short summary
Artificial intelligence applied to the classification of eight middle Eocene species of the genus Podocyrtis (polycystine radiolaria)
Veronica Carlsson, Taniel Danelian, Pierre Boulet, Philippe Devienne, Aurelien Laforge, and Johan Renaudie
J. Micropalaeontol., 41, 165–182, https://doi.org/10.5194/jm-41-165-2022,https://doi.org/10.5194/jm-41-165-2022, 2022
Short summary
Astronomical calibration of late middle Eocene radiolarian bioevents from ODP Site 1260 (equatorial Atlantic, Leg 207) and refinement of the global tropical radiolarian biozonation
Mathias Meunier and Taniel Danelian
J. Micropalaeontol., 41, 1–27, https://doi.org/10.5194/jm-41-1-2022,https://doi.org/10.5194/jm-41-1-2022, 2022
Short summary

Cited articles

Al-Hajri, S. A., Filatoff, J., Wender, L. E., and Norton, A. K.: Stratigraphy and operational palynology, GeoArabia, 4, 53–68, https://doi.org/10.2113/geoarabia040153, 1999. 
Allen, K. C.: Lower and Middle Devonian spores of north and central Vestspitsbergen, Palaeontology, 8, 687–748, 1965. 
Balme, B.: Upper Devonian (Frasnian) spores from the Carnarvon Basin, Western Australia, PaIaeobotanist, 9, 1–10, https://doi.org/10.54991/jop.1960.590, 1962. 
Beaufort, L. and Dollfus, D.: Automatic recognition of coccoliths by dynamical neural networks, Mar. Micropaleontol., 51, 57–73, https://doi.org/10.1016/j.marmicro.2003.09.003, 2004. 
Beightol, D. S. and Conrad, M. A.: Expert systems identify fossils and manage large paleontological databases, Geobyte, 3, 42–46, 1988. 
Download
Short summary
This study develops a semi-automated workflow using artificial intelligence to detect and classify Devonian miospores in microscopic slides. Focusing on three biostratigraphically important species used for dating rocks and correlating distant localities, the method achieved high accuracy, reduced observer bias, and accelerated analysis. This workflow offers a scalable tool for research and potential industrial applications in fossil-based stratigraphy.
Share