Summary: This submission contains a tomographic dataset of a wooden plank. The data is made available as part of [Bossema et al., 2021].

Apparatus: The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by TESCAN-XRE, located at CWI in Amsterdam. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. Full details can be found in [Coban 2020].

Sample Information: The sample is a conifer plank (20mm x 150mm x 230mm).

Experimental Plan: The data in this submission was collected to compare dendrochronological measurements on the reconstructed image using a linear scanning trajectory and a photograph of the transverse section of the plank on the outside (see Figure 6 in [Bossema et al, 2021]). The projections were acquired using 70kV and 30W tube settings. All raw data (i.e. no corrections) is made available in .tif format.

List of Contents: The content of the submission is given below. continuous_line_panel: 1875 projections This data folder contains: dark-field (or closed-shutter) image, di000000.tif, flat-field (or open-shutter) image before acquisition, io000000.tif, and after acquisition, io000001.tif, raw (unprocessed or uncorrected) projections, scan_*.tif, scan settings.txt, a text file with scanner metadata in more human readable format, and script_executed.txt, the text file containing the list of commands the apparatus has executed. data settings XRE.txt, a text file with scanner metadata, Acquisition settings XRE, a text file with scanner metadata.

Additional Links: These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page.

Contact Details: For more information or guidance in using these datasets, please get in touch with bossema [at]

Acknowledgments: The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).
The See-Through Museum , Real-Time 3D Tomography , CT for Art: from Images to Patterns
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Computational Imaging

Bossema, F.G. (2021). A line trajectory X-ray tomography dataset of a wooden plank. doi:10.5281/zenodo.4533887