CactuX Phantoms
Metrological characterization, calibration, image quality improvement and testing nano and μCT. Our phantoms move the limits of high resolution CT on daily basis.
Your needs, our inspiration.
Spirit series
Voxel-spirit
Phantom for nanoCT measurement
Certified phantom for nanoCT measurement that allows quick and intuitive voxel size calibration. Voxel-spirit suits even strict Field of View (FOV) limits and high precision requirements.
Parameters
- 0.06 µm calibration precision
- Reduction of calibration time
- <1 µm voxel size CT applications
- Quick and easy use
Content of the Standard Package
- Voxel-spirit
- Phantom holder
- Detailed description of the calibration procedure
- Distance measurement certificate
Resolution-spirit
Set of CT phantoms for spatial resolution estimation for both nanoCT and microCT systems
Set of universal CT phantoms suitable for both nanoCT and microCT systems that allows for precise spatial resolution estimation according to ASTM E1695-95 standard. Resolution-spirit suits variable Field of View (FOV) limits and high precision requirements.
Parameters
- 4 size options
- < 1 µm to > 10 µm voxel size CT applications
- Accordance to ASTM E1695-95 standard
- Quick and easy use
Content of the Standard Package
- Resolution-Spirit (set of 4 CT phantoms)
- Manual
- Description of spatial resolution estimation methodology
Shadow series
R1-Shadow
Holder for correction of rotational stage inaccuracies
Sample’s holder with fiducial marker for both nanoCT and microCT measurements that allows for quick and intuitive correction of rotational stage inaccuracies and CT data registration for applications such as Dual-Energy CT or 4D CT. R1-Shadow is a multi-purpose solution that suits variable Field of View (FOV) limits and high precision requirements.
Parameters
- 4 size options
- Quick and easy use
- < 1 pixel precision of data registration
- Data quality and precision enhancement
Content of the Standard Package
- R1-shadow (3 pc., 5 pc., 10 pc.)
- Manual
- Description of correction and registration methodology
- ImageJ plugin