What kind of data is useful to the BigParticle.Cloud?

The BigParticle.Cloud is specialized on images containing particles. There are many possible sources for these images, such as electron or optical microscopes, endoscopes and cameras.

Three kinds  of particle image data are of special interest for the BigParticle.Cloud.

Classified images of particles

Example: You sorted your images into different classes. The classes can be very versatile depending on the goals of the classification. Click here to read about good ways to generate classification data.

Classification example
Classification examples (© Malvern Panalytical Ltd., source)
Complete object masks

Example: You marked complete agglomerates on your images. Click here to read about good ways to generate complete object masks.

Agglomerate Mask
Outline of a complete object mask
Primary object masks

Example: You marked individual primary particles on your images. Click here to read about good ways to generate primary object masks.

Primary Particle Masks
Outlines of primary object masks