Light scattering by ensemble of nonabsorbing correlated two-layered particles: specific feature for spectral dependence of extinction coefficient.

Scattering of light by an ensemble of nonabsorbing spherical concentric two-layered particles is considered. It has been shown that exponent of the power function describing the wavelength dependence of the extinction coefficient of the medium with subwavelength-sized particles can exceed considerably the value of 4, which takes place for the Rayleigh scattering. Spatial correlation of particles enhances this "anomalous" dependence on the wavelength.

Light scattering and morphology of the lymphocyte as applied to flow cytometry for distinguishing healthy and infected individuals.

A simple optical model of single lymphocytes with smooth and nonsmooth surfaces has been developed for healthy and infected individuals. The model can be used for rapid (in the real-time scale) solution of the inverse light-scattering problem on the basis of optical data measured by label-free flow cytometry. Light scattering patterns have been calculated for the model developed.

Retrieval of size and refractive index of spherical particles by multiangle light scattering: neural network method application.

A method to retrieve the radius and the relative refractive index of spherical homogeneous nonabsorbing particles by multiangle scattering is proposed. It is based on the formation of noise-resistant functionals of the scattered intensity, which are invariant with respect to the linear homogeneous transformations of an intensity-based signal and approximation of the retrieved parameters' dependence on the functionals by a feed-forward neural network. The neural network was trained by minimization of the mean squared relative error in the range of particle radii from 0.

Characterization of optically soft spheroidal particles by multiangle light-scattering data by use of the neural-networks method.

A method for evaluating the size of optically soft spheroidal particles by use of the angular structure of scattered light is proposed. It is based on the use of multilevel neural networks with a linear activation function. The retrieval errors of radius R of the equivolume sphere and aspect ratio e are investigated.