The Gaussian-random-sphere model is employed for morphological characterization of nonspherical, irregular particles using an inverse light scattering technique. The synthetic measurement data consist of reduced scattering spectra caused by an aggregate of irregular particles randomly oriented in turbid media and are generated using the discrete dipole approximation. The proposed method simultaneously retrieves the concentration and shape parameters of particles using the data collected at multiple wavelengths. The performance of the inverse algorithm is tested using noise-corrupted data, in which up to 50% noise may be added to the observed scattering spectra.
© 2012 Optical Society of America
Original Manuscript: January 9, 2012
Revised Manuscript: March 27, 2012
Manuscript Accepted: March 27, 2012
Published: June 1, 2012
Vol. 7, Iss. 8 Virtual Journal for Biomedical Optics
M. Reza Hajihashemi and Huabei Jiang, "An inverse light scattering technique for morphological characterization of irregular particles based on the Gaussian-random-sphere model," J. Opt. Soc. Am. A 29, 1124-1131 (2012)