title: Image vector histogram approach to nanoparticle sizing.
abstract: A novel approach to measuring the size distribution of particles in the range of a few nanometers to a few micrometers is described. The method is based on processing multiple images of a sample of particles suspended in a liquid and undergoing Brownian motion. From each image, the centers of the particle positions are measured, then a histogram of the vectors connecting the centers in each image with all the centers in the next image is formed. This vector histogram contains information about the particle size distribution. A maximum-likelihood data inversion procedure to invert the data to yield a particle size distribution is described. Both computer simulation and experimental results are presented to demonstrate the effectiveness of the approach.
authors.affiliation: Faculty of Engineering, University of Nottingham, UK. John.Walker@nottingham.ac.uk
authors.forename: John G
authors.initials: JG
authors.lastname: Walker
authors.forename: Nam Trung
authors.initials: NT
authors.lastname: Huynh
authors.forename: Rui
authors.initials: R
authors.lastname: Chen