Articles | Volume 45, issue 1
https://doi.org/10.5194/jm-45-359-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jm-45-359-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 May 2026
Research article |
| 18 May 2026
| 18 May 2026
Testing the applicability of automated size and shape analyses in non-marine ostracods – a case study from the Tibetan Plateau
Marlene Hoehle
CORRESPONDING AUTHOR
Institute for Geography and Geology, University of Greifswald, Greifswald, Germany
Torsten Haberzettl
Institute for Geography and Geology, University of Greifswald, Greifswald, Germany
Peter Frenzel
Institute of Geosciences, Friedrich Schiller University Jena, Jena, Germany
Antje Schwalb
Institute of Geosystems and Bioindication, Technische Universität Braunschweig, Braunschweig, Germany
Junbo Wang
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, P. R. China
Liping Zhu
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, P. R. China
Claudia Wrozyna
Institute for Geography and Geology, University of Greifswald, Greifswald, Germany
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Short summary
Evolutionary developmental biology aims to uncover mechanisms behind how species change over time, with shape analysis being a key tool. To address slow, manual data collection, we tested AutoMorph, a high-throughput imaging pipeline, on two ostracod species from six Tibetan Plateau lakes. The pipeline successfully extracted size and shape data automatically, reducing processing time and minimizing bias, enabling large-scale datasets for investigating evolutionary and ecological processes.
Evolutionary developmental biology aims to uncover mechanisms behind how species change over...
