Xradia MicroXCT-200 显微CT
生产公司:Xradia (美国)
仪器型号:MicroXCT-200
仪器特点:
- 非破坏性的3D成像
- 空间分辨率达到2μm以下,像素分辨率达到1μm以下
- 小型集成式设计,占地面积小
- 灵活的2透镜成像放大系统
- 方便快捷设定扫描参数
- 多点自动扫描,实现高生产率
- 多个探测器满足不同分辨率需求
三个不同探测器参数:
Magnification Level/Lens |
Resolution Range (μm) |
3D FOV Range (mm) |
Standard Lenses (included with every MicroXCT) |
||
2X |
10.0-12.0 |
4.8-12.0 |
10X |
2.5-3.0 |
2.0-2.7 |
20X |
1.5 |
1.3 |
Spatial Resolution and FOV Ranges,by Magnification Level
放置地点:上海市华山路1954号上海交通大学教三楼Med-X研究院117室
联系人:刘佳霖
电话: 13611966221
Email:liujialin@sjtu.edu.cn
The Xradia MicroXCT-200
The Xradia MicroXCT-200 provides the unique ability to reveal the internal structure with full 3D imaging of features down to <1.0 micron pixel resolution, making it a compelling alternative for research and the inspection and control of manufacturing processes.
The Xradia MicroXCT-200 delivers superior flexibility with a two-door accessible sample stage that accommodates sample sizes up to 50 mm.
Key benefits:
High-resolution X-ray 3D CT scanning
High-contrast phased enhanced imaging
Broad sample size capability
Non-destructive imaging of samples
Accelerated understanding of internal structural complexity
The Xradia MicroXCT-200 is a new class of 3D X-ray imaging solution optimized for non-destructive imaging of complex internal structures. It enables accelerated, highly efficient analysis of structures examined in a variety of applications:
Semiconductor packaging development and failure analysis
Life-science research
Rock microstructure modeling for oil and gas exploration
Advanced material characterization
Magnification Level/Lens |
Resolution Range (μm) |
3D FOV Range (mm) |
Standard Lenses (included with every MicroXCT) |
||
2X |
10.0-12.0 |
4.8-12.0 |
10X |
2.5-3.0 |
2.0-2.7 |
20X |
1.5 |
1.3 |
Source: 90 kV
Max. voltage: 90 kV
Min. voltage:40 kV
Max. power:8 W
Location: Room 117, Med-X Research Institute, No.3 Teaching Building, Shanghai Jiaotong University, No. 1954 Huashan Road, Shanghai
Contact: Jialin liu
Telephone: 13611966221
Email: liujialin@sjtu.edu.cn