AIMC Topic: Synchrotrons

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Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT.

Cancer medicine Mar 7, 2021
Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate evidences for tumorigenesis and metastasis in microenvironment. However, the multiscale three-dimensional nondestructive pathological visualization, mea...
Microvessels Intestinal Neoplasms Synchrotrons Neovascularization, Pathologic X-Ray Microtomography Specimen Handling Principal Component Analysis Area Under Curve Liver Stomach Neoplasms Neural Networks, Computer Tomography, X-Ray Computed Machine Learning Tumor Microenvironment Humans Liver Neoplasms
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Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes.

Scientific reports Sep 24, 2018
Imaging is a dominant strategy for data collection in neuroscience, yielding stacks of images that often scale to gigabytes of data for a single experiment. Machine learning algorithms from computer vision can serve as a pair of virtual eyes that tir...
Mice Image Processing, Computer-Assisted Synchrotrons Animals Machine Learning Imaging, Three-Dimensional X-Ray Microtomography Algorithms
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BioSAXS Sample Changer: a robotic sample changer for rapid and reliable high-throughput X-ray solution scattering experiments.

Acta crystallographica. Section D, Biological crystallography Jan 1, 2015
Small-angle X-ray scattering (SAXS) of macromolecules in solution is in increasing demand by an ever more diverse research community, both academic and industrial. To better serve user needs, and to allow automated and high-throughput operation, a sa...
Synchrotrons High-Throughput Screening Assays Robotics Scattering, Small Angle
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A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Osteocyte-lacunar bone structures are a discerning marker for bone pathophysiology, given their geometric alterations observed during aging and diseases. Deep Learning (DL) image analysis has showcased the potential to comprehend bone health associat...
Deep Learning Image Processing, Computer-Assisted Algorithms Synchrotrons Osteocytes X-Ray Microtomography Bone and Bones Machine Learning Humans
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Pre- and Post-publication Verification for Reproducible Data Mining in Macromolecular Crystallography.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Like an article narrative is deemed by an editor and referees to be worthy of being a version of record on acceptance as a publication, so must the underpinning data also be scrutinized before passing it as a version of record. Indeed without the und...
COVID-19 SARS-CoV-2 Artificial Intelligence Humans Crystallography Synchrotrons Macromolecular Substances Crystallography, X-Ray Data Mining
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The combination of artificial neural networks and synchrotron radiation-based infrared micro-spectroscopy for a study on the protein composition of human glial tumors.

The Analyst Apr 7, 2015
Protein-related changes associated with the development of human brain gliomas are of increasing interest in modern neuro-oncology. It is due to the fact that they might make some of these tumors highly aggressive and difficult to treat. This paper p...
Proteomics Glioma Brain Neoplasms Synchrotrons Neural Networks, Computer Analysis of Variance Spectroscopy, Fourier Transform Infrared Humans
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