Put your imaging needs in the right hands
A wholistic approach to micro-imaging differentiates DigiM. When an imaging experiment is designed, the representativeness of the sample, physicochemical properties of the sample in response to imaging source and resolution parameters, and the quantitative analysis will be considered up front. Through cloud-based DigiM I2S software, the complete life cycle of the imaging data is taken care of.
Selection, Preparation, and Imaging
Sample representativeness is strongly dependent on specific applications. Due to increasing microstructure heterogeneity in modern science, it is almost impossible to claim that one sampling strategy can fit all. To ensure a successful strategy in obtaining valuable images, DigiM’s approach has two important elements:
- Quantification: The quantitative information that will be extracted from the images dictates sample selection
- Collaboration: DigiM’s decades of microstructure imaging experience is combined with the client’s expertise on the material
Regardless of how successful an imaging experiment is, there are always artifacts. DigiM manages imaging artifacts in three ways:
- Artifacts are mitigated during imaging experiments, such as charging, re-deposition, and sample stability.
- A suite of software algorithms has been developed to correct artifacts, such as curtaining, stage drifting, and intensity variation.
- Fundamental understandings of these artifacts are leveraged to design new experiments and study dynamic responses of such samples under electron and ion beam excitations.