Dataset Open Access

A five-tile tomographic micro-CT dataset of the oak sculpture "Holy woman with lantern" - part 2 of 2

Francien G. Bossema; Alexander Kostenko; Sophia Bethany Coban

Related person(s)
Paul van Duin; Marta Domínguez Delmás
Work package leader(s)
K. Joost Batenburg

This submission contains a five-tile tomographic datasets of an oak sculpture Holy woman with lantern, belonging to the Rijksmuseum collection. The first part consists of the first three tiles, the second part of the last two tiles. The data is made available as part of [Bossema et al., 2020] and [Domínguez-Delmás et al., 2020].  

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 an oak sculpture of a Holy woman with lantern, 35.8 cm high, c. 1500-1525 [Rijksmuseum inventory number BK-NM-9253,]. It was mounted on a wooden block on the rotation stage.

See Figure 7 in [Bossema et al., 2020] for a picture of the object and the mount and [Domínguez-Delmás, 2020] for analysis of the reconstructed images.  

Experimental Plan
The data in this submission was collected to facilitate measurements of the tree rings (dendrochronological research) at different heights, and to illustrate the use of detector tiling for the investigation cultural heritage objects. To image the entire object, five vertical tiles were scanned at image resolution 67.8 micron. For each scan, the sample was rotated 360° in circular and continuous motion, with a dark-field (closed-shutter), and 2 flat-field (open-shutter) images taken before and after the acquisition. The datasets of Tile 1-4 consist of 2914 projections, the dataset of Tile 5 of 1500 projections.
All raw data (i.e. no corrections) is made available in .tif format.

List of Contents
The content of the submission is given below.

part 1:

  • t1: first vertical tile, bottom of sculpture
  • t2: second vertical tile
  • t3: third vertical tile

part 2:

  • t4: fourth vertical tile
  • t5: fifth vertical tile, top of the sculpture

Each 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,
  • data settings XRE.txt, a text file with scanner metadata,
  • scan settings.txt, a text file with scanner metadata in more human readable format, and
  • data settings XRE.ini, a snapshot text file of basic geometry information at the start of a scan.
  • script_executed.txt, the text file containing the list of commands the apparatus has executed.

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]

We thank Paul van Duin and Marta Domínguez Delmás for providing us with the opportunity to scan this interesting object.

Files (19.0 GB)
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  • F. G. Bossema, S. B. Coban, A. Kostenko, P. Van Duin, J. Dorscheid, I. Garachon, E. Hermens, R. Van Liere, and K. J. Batenburg, "CT scanning for multi-scale imaging in cultural heritage," Stud. Conserv. [submitted], 2020.

  • S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, "Explorative imaging and its implementation at the FleX-ray Laboratory," J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.

  • M. Domínguez-Delmás, F. G. Bossema, B. Van der Mark, A. Kostenko, S. Van Daalen, P. Van Duin, and K. J. Batenburg, "Dating and provenancing the Holy woman with lantern sculpture: an interdisciplinary case study," Herit. Sci. [submitted], 2020.

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