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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Images accompanying the paper "Enabling high-throughput quantitative wood anatomy through a dedicated pipeline"

Authors: Van den Bulcke, Jan; De Blaere, Ruben; Verschuren, Louis; wyffels, Francis; Vansuyt, Simon;

Images accompanying the paper "Enabling high-throughput quantitative wood anatomy through a dedicated pipeline"

Abstract

Images of increment cores acquired with the Gigapixel Woodbot. Software for building your own Gigapixel Woodbot can be found on https://doi.org/10.5281/zenodo.14637832. Releases of software for analysis of the images can be found on https://doi.org/10.5281/zenodo.14637855. The training datasets and trained YOLOv8 model needed to run the analysis, can be found on https://doi.org/10.5281/zenodo.14604996. The full images of the disks (see paper for more details) can be found on https://doi.org/10.6019/S-BIAD1574. This is part of an entire sample preparation, imaging and analysis pipeline available in the paper "Enabling high-throughput quantitative wood anatomy through a dedicated pipeline" by Van den Bulcke and co-authors: https://doi.org/10.1186/s13007-025-01330-7. Cite our paper when using these data.

Related Organizations
Keywords

wood anatomy, deep learning, gigapixel imaging

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average