Abstract

An improved version of the nonlinear iterative projection algorithm is proposed and applied to the inversion of the light-scattering data for particle sizing. Compared with the original projection algorithm, the improved one is much more stable, reliable, and accurate with respect to random noise. The particle-size distributions retrieved with the improved projection algorithm are independent of the different starting solutions. The criterion for stopping iteration is fairly clearly determined and is not a user-dependent parameter of the inversion algorithm. Numerical computer simulations and experimental results for the mixture of monodispersed size distributions are presented to allow both the inversion procedure validity and the instrument performance to be evaluated.

© 2001 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Inversion of low-angle elastic light-scattering data with a new method devised by modification of the Chahine algorithm

Fabio Ferri, Gabriella Righini, and Enrico Paganini
Appl. Opt. 36(30) 7539-7550 (1997)

Modified version of the Chahine algorithm to invert spectral extinction data for particle sizing

Fabio Ferri, Alessandra Bassini, and Enrico Paganini
Appl. Opt. 34(25) 5829-5839 (1995)

Smoothness-constrained projection method for particle analysis based on forward light scattering

Jianqi Shen, Bin Yu, Huarui Wang, Haitao Yu, and Yehuan Wei
Appl. Opt. 47(11) 1718-1728 (2008)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (19)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (22)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription