Automated Stereology and Uncertainty Quantification Considering Spherical Non-Penetrating Dispersions

Automated stereological methods are presented for approximating the 3D size distribution of unimodal or bimodal precipitate dispersions considering 2D and 1D measurements taken from polydisperse spherical non-penetrating particle dispersions. A method to quantify uncertainty approximation as a function number sampled particles is demonstrated experimental data. The derivation verification analytical expressions used included. Two procedures estimating populations depending upon relative two populations. If can be characterised using micrographs same magnification, it possible estimate volume fraction each population. For cases where have been at different an area fractions needed combine datasets allow distribution. These useful use in determining initial modelling appropriate measure when characterising dispersion.