Related Experiment Video
Updated: Jan 12, 2026
10:18
Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
Published on: February 21, 2017
8.8K
X-ray white beam based 26.7 Hz dynamic tomography
Rongchang Chen1,2, Honglan Xie2, Guohao Du2
1Institute of Advanced Light Source Facilities, Shenzhen, Guangdong, China.
Journal of X-Ray Science and Technology
|November 3, 2025
Summary
We developed a dynamic synchrotron radiation micro-computed tomography (SR-µCT) system capable of 26.7 Hz imaging. This high-speed 4D imaging technique enables real-time 3D structural evolution studies, particularly for in vivo biomedical applications.
Area of Science:
- Physics
- Engineering
- Biomedical Imaging
Background:
- Synchrotron radiation micro-computed tomography (SR-µCT) is crucial for 3D structural analysis.
- Traditional SR-µCT has limited temporal resolution, hindering real-time studies.
- Dynamic SR-µCT is emerging for capturing rapid structural changes.
Purpose of the Study:
- To develop and demonstrate a high-speed dynamic SR-µCT system.
- To achieve 4D (3D + time) imaging capabilities at high frame rates.
- To enable real-time observation of dynamic processes.
Main Methods:
- Implemented a dynamic SR-µCT system at the Shanghai Synchrotron Radiation Facility (BL09B).
- Utilized a filtered white beam and key components: fast shutter, air-bearing rotation stage, high-efficiency detector with Photron FASTCAM SA-Z, and synchronization clock.
- Achieved an operational speed of 26.7 Hz.
Main Results:
- Successfully demonstrated a dynamic SR-µCT system operating at 26.7 Hz.
- Confirmed the system's capability for high-resolution, real-time 3D imaging.
- Validated the feasibility for in vivo four-dimensional studies.
Conclusions:
- The developed dynamic SR-µCT system significantly enhances temporal resolution for 4D imaging.
- This technology is highly promising for advancing biomedical research and other time-resolved scientific investigations.
- Enables unprecedented insights into dynamic structural evolution in real-time.
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