This article is intended as a starting point for users who are completely new to the platform, explains certain principles and concepts, and basic functions.
This article is intended as a starting point for users who are completely new to the platform, explains certain principles and concepts, and basic functions.
arivis solutions are widely reputed for their ability to handle large image data. At the core of this ability is the way that we store, access and process image data. A more thorough explanation of why we do things this way and the basic concepts behind it can be found here, but for now, it suffices to state that Vision4D requires images to be saved in a specific format to work.
The first two points to note on this are:
As mentioned above, importing images is necessary, and usually very straightforward. You can simply drag & drop a file from the file explorer into an open viewer to start the import process. Then, choose a name and save location for the results.
In cases where the file selected is fully supported that is all that is required. The software will automatically read and copy all the image data and metadata. However, it is also possible to import some partially supported files or use more advanced import scenarios when needed.
For example, if the images are stored as multiple TIFF files, the software will be able to read the image information but some of the metadata relating to the dimensionality of the image set may be unrecognizable. In such cases use simple import scenarios, for example, import simple Z-stacks or import time series.
More complex import scenarios are also possible for multidimensional import or imports with stitching of tiles images.
Once the images have been imported into a *.sis file, you can open the file in the same way (drag & drop into an open viewer), or simply double click on the file in the Windows Explorer.
When images are imported, Vision4D will automatically read and copy time and distance calibrations where possible. But if this information is missing from the metadata, or you simply want to check that it is correct, it is possible to edit those. Check this article about Calibrating datasets to learn more.