Author

Peter Pietrzyk

University of GeorgiaORCID 0000-0002-6794-8133Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:plant (other)· 1

Frequent Co-Authors

Alexander BuckschiD· 2 shared Ankita RoyiD· 1 shared Chartinun ChutoeiD· 1 shared Lise PingaultiD· 1 shared Marc LibaultiD· 1 shared Neen Phan-Udom· 1 shared Patompong Johns SaengwilaiiD· 1 shared Suxing LiuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersPlant Biology

Alexander BuckschORCID

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2 papers

Recent·Most cited

Plant BiologyPlant MethodsPeer-reviewedApr 2, 2026

Optimizing root phenotyping: Assessing the impact of camera calibration on 3D root reconstruction

Peter Pietrzyk, Suxing Liu, Alexander Bucksch

This study evaluates how camera calibration affects 3D root reconstruction quality and finds that proper calibration significantly improves model accuracy over post-processing filtering.

3 citationstop 1%

plant (other)imaging

𝕏 PostBluesky

Plant BiologyJournal of Experimental BotanyPeer-reviewedSep 10, 2024

DIRT/μ - Automated extraction of root hair traits using combinatorial optimization

Peter Pietrzyk, Neen Phan-Udom, Chartinun Chutoe…·Alexander Bucksch

DIRT/μ automatically extracts root hair traits from 2D images using combinatorial optimization, enabling precise and unbiased measurements of root hair length and density.

11 citations

imagingdeep learning

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