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Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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Updated: Jun 18, 2026

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
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Accelerating imaging research at large-scale scientific facilities through scientific computing.

Chunpeng Wang1, Xiaoyun Li1, Rongzheng Wan1

  • 1Big Data Science Center, Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 239 Zhangheng Road, Shanghai 201210, People's Republic of China.

Journal of Synchrotron Radiation
|August 27, 2024
PubMed
Summary

A new framework automates computed tomography data processing at synchrotron facilities. This accelerates 3D reconstruction and provides real-time feedback for enhanced scientific imaging experiments.

Keywords:
automationimagingscientific computingsynchrotrontomography

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Area of Science:

  • * Scientific Imaging
  • * High-Performance Computing
  • * Data Management

Background:

  • * Synchrotron computed tomography (CT) experiments generate vast and complex datasets.
  • * Near real-time 3D reconstruction is essential for efficient synchrotron imaging.
  • * Existing processing methods face challenges with data volume and speed.

Purpose of the Study:

  • * To develop and deploy an automated framework for synchrotron CT data processing.
  • * To accelerate real-time feedback for experimental results.
  • * To integrate the framework within a national data management system.

Main Methods:

  • * Development of a synchrotron computed tomography framework.
  • * Utilization of high-performance computing clusters for accelerated processing.
  • * Integration with a unified national authentication and data management framework.
  • * Implementation across imaging beamlines at the Shanghai Synchrotron Radiation Facility.

Main Results:

  • * Automated online processing of experimental data from synchrotron imaging beamlines.
  • * Significant acceleration of 3D tomography reconstruction compared to original approaches.
  • * Full automation of data processing pipelines.
  • * Seamless integration with beamline processing software and systems.

Conclusions:

  • * The developed framework successfully addresses challenges in synchrotron CT data processing.
  • * It enhances experimental efficiency through accelerated and automated data handling.
  • * The framework provides crucial real-time feedback, improving experimental outcomes.