AIMC Topic: Synchrotrons

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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging.

Journal of synchrotron radiation Apr 1, 2025
In bone-imaging research, in situ synchrotron radiation micro-computed tomography (SRµCT) mechanical tests are used to investigate the mechanical properties of bone in relation to its microstructure. Low-dose computed tomography (CT) is used to prese...
Animals Deep Learning Bone and Bones X-Ray Microtomography Synchrotrons Image Processing, Computer-Assisted Radiation Dosage
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Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach.

Scientific reports Nov 28, 2024
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocytes, and subchondral bone (SCB) containing osteocytes that interact with each other. In this study, we propose a new method for the three-dimensional (3...
Humans Osteocytes X-Ray Microtomography Synchrotrons Deep Learning Male Chondrocytes Osteoarthritis, Knee Imaging, Three-Dimensional Middle Aged Cartilage, Articular Female Aged
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Deep residual networks for crystallography trained on synthetic data.

Acta crystallographica. Section D, Structural biology Jan 1, 2024
The use of artificial intelligence to process diffraction images is challenged by the need to assemble large and precisely designed training data sets. To address this, a codebase called Resonet was developed for synthesizing diffraction data and tra...
Crystallography, X-Ray Synchrotrons Algorithms Computer Simulation Artificial Intelligence
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High Throughput Tomography (HiTT) on EMBL beamline P14 on PETRA III.

Journal of synchrotron radiation Jan 1, 2024
Here, high-throughput tomography (HiTT), a fast and versatile phase-contrast imaging platform for life-science samples on the EMBL beamline P14 at DESY in Hamburg, Germany, is presented. A high-photon-flux undulator beamline is used to perform tomogr...
Tomography, X-Ray Computed X-Rays Synchrotrons Robotics Germany
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Screening the phytotoxicity of micro/nanoplastics through non-targeted metallomics with synchrotron radiation X-ray fluorescence and deep learning: Taking micro/nano polyethylene terephthalate as an example.

Journal of hazardous materials Oct 28, 2023
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to predict and screen their toxicity are crucial. Elemental dyshomeostasis can be used to assess toxicity of environmental pollutants. Non-targeted metal...
Polyethylene X-Rays Synchrotrons Polyethylene Terephthalates Environmental Pollutants Microplastics Seedlings Plastics Fluorescence Deep Learning Humans
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On stars and spikes: Resolving the skeletal morphology of planktonic Acantharia using synchrotron X-ray nanotomography and deep learning image segmentation.

Acta biomaterialia Jan 25, 2023
Acantharia (Acantharea) are wide-spread marine protozoa, presenting one of the rare examples of strontium sulfate mineralization in the biosphere. Their endoskeletons consist of 20 spicules arranged according to a unique geometric pattern named Mülle...
Deep Learning Animals Minerals Synchrotrons X-Rays Strontium
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BioSAXS at European Synchrotron Radiation Facility - Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software.

Journal of synchrotron radiation Jan 1, 2023
As part of its Extremely Brilliant Source (EBS) upgrade project, the ESRF's BM29 BioSAXS beamline was subject to a significant upgrade and refurbishment. In addition to the replacement of the beamline's original bending magnet source by a two-pole wi...
Scattering, Small Angle Synchrotrons Robotics Humans Data Collection Software X-Ray Diffraction
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The synergy of synchrotron imaging and convolutional neural networks towards the detection of human micro-scale bone architecture and damage.

Journal of the mechanical behavior of biomedical materials Nov 17, 2022
The growing health and economic burden of bone fractures, their intricate multiscale features and the existing knowledge gaps in the comprehension of micro-scale bone damage occurrence make fracture diagnosis a challenging issue. In this scenario, de...
Synchrotrons Machine Learning Algorithms Humans Neural Networks, Computer Artificial Intelligence
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Fully automated measurement system for temperature-dependent X-ray total scattering at beamline BL04B2 at SPring-8.

Journal of synchrotron radiation Jan 18, 2022
Data-driven approaches in materials science demand the collection of large amounts of data on the target materials at synchrotron beamlines. To accurately gather suitable experimental data, it is essential to establish fully automated measurement sys...
Temperature SARS-CoV-2 Robotics Pandemics COVID-19 Humans X-Rays Synchrotrons
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Robotic sample changers for macromolecular X-ray crystallography and biological small-angle X-ray scattering at the National Synchrotron Light Source II.

Journal of synchrotron radiation Aug 23, 2021
Here we present two robotic sample changers integrated into the experimental stations for the macromolecular crystallography (MX) beamlines AMX and FMX, and the biological small-angle scattering (bioSAXS) beamline LiX. They enable fully automated una...
Crystallography, X-Ray X-Rays Equipment Design Software Scattering, Small Angle Macromolecular Substances Robotics Synchrotrons
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