X-ray Tomography
X-ray Tomography - Related Videos
06:56
Tree Core Analysis with X-ray Computed Tomography
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Cited by 10 •
2023
Here we show how to process tree cores with an X-ray computed tomography toolchain. Except for chemical extraction for some purposes, no further physical lab treatment is needed. The toolchain can be used for biomass estimations, for obtaining MXD/tree-ring width data as well as for obtaining quantitative wood anatomy data.
10:00
Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
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Cited by 11 •
2016
The use of energy dispersive X-ray tomography in the scanning transmission electron microscope to characterize elemental distributions within single nanoparticles in three dimensions is described.
08:51
Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
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Cited by 9 •
2008
We used synchrotron X-ray tomography at the European Synchrotron Radiation Facility (ESRF) to non-invasively produce 3D tomographic datasets with a pixel-resolution of 0.7µm. Using volume rendering software, this allows the reconstruction of internal structures in their natural state without the artefacts produced by histological sectioning.
10:39
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
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Cited by 10 •
2016
The measurement protocol and data analysis procedure are given for obtaining transverse coherence of a synchrotron radiation X-ray source along four directions simultaneously using a single 2-D checkerboard phase grating. This simple technique can be applied for complete transverse coherence characterization of X-ray sources and X-ray optics.
07:54
Preparing Adherent Cells for X-ray Fluorescence Imaging by Chemical Fixation
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Cited by 14 •
2015
Here, we present a protocol on how to determine the quantity and distribution of metals in a sample using synchrotron X-ray fluorescence. We focus on adherent cells, and describe the chemical fixation method to prepare this sample. We then describe how to mount and image the sample using synchrotron X-rays.
FAQs
Materials and biological structures attenuate X-rays to different degrees, producing variations in the recorded projections. A computational reconstruction uses these differences across many viewing angles to resolve internal regions and interfaces. In bioengineering studies, this contrast supports evaluation of density-related variation, scaffold architecture, bone organization, and structural defects without physically sectioning the specimen.
Each projection records attenuation along a particular path through the object, so one view provides only limited structural information. Rotating the object relative to the source and detector supplies complementary measurements from different directions. Combining those projections allows reconstruction of cross-sectional or three-dimensional architecture, including features that would not be visible from a single orientation.
The reconstructed images can reveal porosity, density, connectivity, and structural defects. Porosity describes internal void space, while connectivity indicates how structural regions or pores relate throughout the specimen. Together, these measurements help researchers characterize bone architecture, tissue scaffolds, implants, and engineered constructs, linking internal organization to questions in biomechanics and regenerative medicine.
A typical workflow positions the object between an X-ray source and detector, collects projections while the object rotates relative to them, and computationally reconstructs the recorded attenuation data. The resulting dataset can be represented as cross-sectional or three-dimensional images. Researchers then examine features such as density, porosity, connectivity, and defects in the intact specimen.
It is useful when internal architecture must be examined while preserving the specimen for continued study or assessment. Applications described for bioengineering include characterizing bone, tissue scaffolds, implants, and engineered constructs. The method supports biomechanics research, regenerative medicine, device development, and quality assessment by exposing internal organization without destructive sectioning.
Imaging reveals whether an implant, scaffold, or engineered construct contains the intended internal organization and whether structural defects are present. Measurements of porosity, density, and connectivity provide quantitative descriptions of that architecture. These results can support device development and quality assessment, while also helping evaluate constructs relevant to regenerative medicine and biomechanical research.