A geometric probability approach to estimating particle volume distribution

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Abstract

A fundamental problem in stereology is to estimate the particle volume distribution using planar profiles. A model has been developed to solve this problem. The model is based on three geometric probability equations and a small number of assumptions. These assumptions are that sectioning is isotropic and uniform, particle shape changes smoothly with particle volume and particles are convex. The model is based on dividing the particle volume distribution into bins with each bin representing a narrow range in particle volume. The planar profiles are allocated into the bins. The method of allocation is to ensure that for each bin the volume estimates obtained from applying the three geometric probability equations correspond closely to the bin particle volume. The model is verified by numerical simulation and experiment. The numerical simulation is based on sectioning ellipsoids. For the simulations the model for estimating particle volume distribution from planar profiles was found to be very accurate. The experimental verification has the advantage of testing the model on 'real' particles. The particle volume distribution model was applied to planar profiles from particles with a known size distribution. For this verification the estimated particle volume distribution was not as accurate as for the numerical simulations. The reason for this is most likely experimental error.

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Acerca de: Stephen L. Gay