Author

Pavel Klimeš

Palacký University OlomoucORCID 0009-0007-6385-992XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Organism:Arabidopsis· 2 Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Lukáš SpíchaliD· 3 shared Nuria De DiegoiD· 3 shared Iñigo Saiz‐FernándeziD· 2 shared Jan ZdraziliD· 2 shared Lingping KongiD· 2 shared Václav SnåšeliD· 2 shared Amaia Ortiz‐BarredoiD· 1 shared Emmanuel Flores‐HernándeziD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersPlant Biology

Lukáš SpíchalORCID

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3 papers

Recent·Most cited

Plant BiologyCurrent Plant BiologyPeer-reviewedOct 7, 2026

LOCOPOTS: a low-cost high-throughput screening platform for in vitro potato phenotyping under abiotic stress

Iñigo Saiz‐Fernández, Lisney Alessandra Bastidas Parrado, Pavel Klimeš…·Nuria De Diego

LOCOPOTS identifies stress-resilient potato genotypes using low-cost imaging and machine learning, revealing metabolic biomarkers for abiotic stress responses.

1 citation

plant (other)imaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 29, 2026

A hyperbolic topological atlas reveals polyamine steering of a shared developmental manifold in Arabidopsis

Jan Zdrazil, Lingping Kong, Emmanuel Flores‐Hernández…·Václav Snåšel

The paper uses a hyperbolic topological atlas to analyze Arabidopsis rosette development under different polyamine and nutrient conditions, revealing how these factors influence developmental trajectories.

DOI 10.64898/2026.06.23.733990

Arabidopsisimaging

𝕏 PostBluesky

Plant BiologyComputers and Electronics in AgriculturePeer-reviewedApr 11, 2025

Decrypting the complex phenotyping traits of plants by machine learning

Jan Zdrazil, Lingping Kong, Pavel Klimeš…·Nuria De Diego

AMULET predicts plant phenotypes using imaging and machine learning before visible changes occur, improving breeding and agricultural management.

15 citationstop 2%

Arabidopsisimaging

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