Ten recommendations for scanning foraminifera by X-ray computed tomography

Abstract. Marine sediment cores uniquely provide a temporally high-resolution and well-preserved archive of foraminifera fossils, which are essential for understanding environmental, ecological, and evolutionary dynamics over geological timescales. Foraminifera preserve their entire ontogeny in their fossilized shells, and much of this life history remains hidden from view under a light microscope. X-ray microfocus computed tomography (μCT) imaging of individual foraminifera reveals internal chambers and pores that are traditionally hidden from view. Their volume, shape, and growth form foundations of oceanographic and environmental research. Here, we present a set of 10 recommendations for the preparation and scanning of individual fossilized foraminifera using glue-, gel-, and solvent-free methods. We focus on the primary X-ray parameters of μCT imaging that a researcher can optimize according to their throughput, signal-to-noise ratio, and cost requirements to generate three-dimensional (3D; volumetric) datasets. We showcase the effect of these parameters on image quality through repeated scans on a single planktonic foraminifer that varied the X-ray beam power and energy, detector binning, number of projections, and exposure times. In our case study, the highest beam power resulted in the widest contrast between the subject of interest and the background, allowing the easiest threshold-based segmentation of the object and aiding computers in automated feature extraction. The values of these parameters can exhibit significant variability across individuals, based on the specific needs of the study, the equipment used, and the unique attributes of the samples under consideration. Our motivation with this paper is to share our experience and offer a foundation for similar studies.

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Publication Details

Journal
Journal of Micropalaeontology
Published
2025-04-29
DOI
https://doi.org/10.5194/jm-44-107-2025
Citations
1
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
1.30

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article

Ten recommendations for scanning foraminifera by X-ray computed tomography

Kathryn E. Rankin, Anieke Brombacher, Mark Mavrogordato, Thomas H. G. Ezard et al.
1 citations
Journal of Micropalaeontology
Geology and Paleoclimatology Research
1.30
article

Ten recommendations for scanning foraminifera by X-ray computed tomography

Kathryn E. Rankin, Anieke Brombacher, Mark Mavrogordato, Thomas H. G. Ezard, Alex Searle‐Barnes, Orestis L. Katsamenis
article en
1 citations

Abstract

Abstract. Marine sediment cores uniquely provide a temporally high-resolution and well-preserved archive of foraminifera fossils, which are essential for understanding environmental, ecological, and evolutionary dynamics over geological timescales. Foraminifera preserve their entire ontogeny in their fossilized shells, and much of this life history remains hidden from view under a light microscope. X-ray microfocus computed tomography (μCT) imaging of individual foraminifera reveals internal chambers and pores that are traditionally hidden from view. Their volume, shape, and growth form foundations of oceanographic and environmental research. Here, we present a set of 10 recommendations for the preparation and scanning of individual fossilized foraminifera using glue-, gel-, and solvent-free methods. We focus on the primary X-ray parameters of μCT imaging that a researcher can optimize according to their throughput, signal-to-noise ratio, and cost requirements to generate three-dimensional (3D; volumetric) datasets. We showcase the effect of these parameters on image quality through repeated scans on a single planktonic foraminifer that varied the X-ray beam power and energy, detector binning, number of projections, and exposure times. In our case study, the highest beam power resulted in the widest contrast between the subject of interest and the background, allowing the easiest threshold-based segmentation of the object and aiding computers in automated feature extraction. The values of these parameters can exhibit significant variability across individuals, based on the specific needs of the study, the equipment used, and the unique attributes of the samples under consideration. Our motivation with this paper is to share our experience and offer a foundation for similar studies.

Journal of MicropalaeontologyVol. 44(1)
National Oceanography Centre (GB), University of Southampton (GB)
Natural Environment Research Council
Openalex Percentile: Top 23%
Geology and Paleoclimatology Research
1.30
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