High-resolution micro-computed tomography (microCT) is a powerful non-destructive imaging technique used to visualize the internal structure of samples in three dimensions. To ensure high-quality data acquisition and efficient processing, laboratories follow a standardized service request workflow. This guide outlines the typical steps involved in submitting a sample for microCT analysis.
Before submitting a formal request, researchers should engage with the facility staff. During this phase, you will discuss the research objectives, the nature of the samples, and the required resolution. Staff can advise on feasibility, potential artifacts, and sample preparation requirements to ensure the imaging parameters align with your research goals.
Proper sample preparation is critical for successful microCT scans. Depending on the material, samples must be stabilized to prevent movement during the rotation process. Key considerations include:
Once the project parameters are finalized, a formal request form must be submitted. This document generally requires:
After the sample is accepted, the facility team will perform the scans. This stage involves setting up the X-ray source and detector geometry to optimize contrast and resolution. Once the raw projection data is collected, a reconstruction algorithm is applied to convert these projections into a 3D volume (typically in DICOM or TIFF formats).
Following successful reconstruction, the data undergoes a quality control check. Once approved, the facility will provide instructions for downloading the reconstructed volumes. Many facilities also offer post-processing services, such as 3D segmentation, porosity analysis, or morphometric measurements, which can be arranged as part of the service request.
To avoid delays, ensure that all samples are properly packaged and clearly labeled with unique identifiers. If your research involves time-sensitive experiments, coordinate with the facility well in advance to reserve equipment time. Clear communication regarding your specific analytical needs will ensure that the resulting data provides the insights necessary for your research project.
