Fast Small-Angle X-ray Scattering Tensor Tomography: An Outlook into Future Applications in Life Sciences
Christian Appel, Margaux Schmeltz, Irene Rodriguez-Fernandez, Lukas, Anschuetz, Leonard C. Nielsen, Ezequiel Panepucci, Tomislav Marijolovic,, Klaus Wakonig, Aleksandra Ivanovic, Anne Bonnin, Filip Leonarski, Justyna, Wojdyla, Takashi Tomizaki, Manuel Guizar-Sicairos, Kate Smith

TL;DR
This paper demonstrates a significant advancement in Small Angle X-ray Scattering Tensor Tomography (SAS-TT) by reducing data acquisition time from 96 hours to 6 hours per voxel, enabling faster, more practical imaging for life sciences.
Contribution
The study reports the first SAS-TT measurement at a macromolecular X-ray crystallography beamline, establishing a new standard for rapid data collection and expanding potential applications in biological tissue analysis.
Findings
Identified three regions of high fibril alignment in the incus bone.
Characterized size and shape variations of mineral particles across tissue locations.
Revealed pathways of sound transmission in the ossicular chain.
Abstract
Small Angle-X-ray Scattering Tensor Tomography (SAS-TT) is a relatively new, but powerful technique for studying the multiscale architecture of hierarchical structures, which is of particular interest for life science applications. Currently, the technique is very demanding on synchrotron beamtime, which limits its applications, especially for cases requiring a statistically relevant amount of sample. This study reports the first SAS-TT measurement at a macromolecular X-ray crystallography beamline, PX-I at the SLS, with an improvement in data acquisition time from 96 h/Mvoxel in the pilot experiments to 6 h/Mvoxel, defining a new standard for fast SAS-TT and allowing the measurement of a full tomogram in 1.2 hours. Measurements were performed on the long and lenticular process of the incus bone, one of the three human auditory ossicles. The main orientation and degree of alignment of…
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Taxonomy
TopicsAdvanced X-ray Imaging Techniques · Black Holes and Theoretical Physics · Advanced Neuroimaging Techniques and Applications
