Particle classifier (PACLA)

Automated single particle scanning electron microscopy analysis coupled to energy dispersive x-ray spectroscopy (SEM/EDX) deliver multidimensional and very complex data sets making data treatment tedious and time consuming.

In the past, the classification of the different morpho-chemical groups, which can be related to specific sources, was done manually.

In order to overcome this issue, we have developed in cooperation with the Zürich School of Applied Sciences and the University of Fribourg an extremely useful tool for efficient data treatment.

Here, we present the prototype of the so called PACLA (PArticle CLAsifier software), which enables an arbitrary number of particles to be efficiently analyzed and grouped in chemical classes (=sources) based on cluster analysis.

Particle Vision Network