Author

Michael P Pound

University of Nottingham;

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Organism:plant (other)· 1

Frequent Co-Authors

Aaron S Jackson· 1 shared Adrian Bulat· 1 shared Alexandra J Burgess· 1 shared Andrew P French· 1 shared Darren M Wells· 1 shared Erik H Murchie· 1 shared Fengjiao LuiD· 1 shared Georgios Tzimiropoulos· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aaron S Jackson

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2 papers

Recent·Most cited

Diffusion-Based Synthetic Pretraining for Root Segmentation in Rhizotron Images

Fengjiao Lu, Gert Kootstra, Zane K.J. Hartley, Rick van de Zedde, Michael P Pound, Viola Willemsen

This paper generates synthetic rhizotron images using diffusion models and shows that pretraining on these images improves root segmentation performance, especially when real annotations are limited.

bioRxiv · Nov 2, 2026 · PreprintPlant Biology

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Michael P Pound, Alexandra J Burgess, Michael H Wilson, Jonathan A Atkinson, Marcus Griffiths, Aaron S Jackson, Adrian Bulat, Georgios Tzimiropoulos, Darren M Wells, Erik H Murchie, Tony P Pridmore, Andrew P French

This paper applies deep learning to image-based plant phenotyping, achieving state-of-the-art results in root and shoot feature identification and localization.

bioRxiv · May 12, 2016Bioinformatics