Retrieval of particle characteristics with high-order neural networks: application to scanning flow cytometry

Vladimir V. Berdnik; Valery A. Loiko

doi:10.1117/12.753207

1 August 2007 Retrieval of particle characteristics with high-order neural networks: application to scanning flow cytometry

Vladimir V. Berdnik, Valery A. Loiko

Author Affiliations +

Proceedings Volume 6734, International Conference on Lasers, Applications, and Technologies 2007: Laser Technologies for Medicine; 673417 (2007) https://doi.org/10.1117/12.753207
Event: International Conference on Lasers, Applications, and Technologies '07, 2007, Minsk, Belarus

Abstract

The problem of retrieval of homogeneous spherical particles characteristics by the data on the intensity of scattered light is considered. To solve this problem the high-order neural networks method is used. The algorithms to determine radius and refractive index of particle using the multidot high-order neural networks are proposed. The nets to retrieve particle's radius and refractive index by the data on the intensity of scattered light in a limiting range of available for measurement angles are constructed. The neural networks are trained in the range of radius from 0.5 up to 15.5 microns and refractive index from 1.02 to 1.2, respectively. Dependence of the retrieval errors on particle characteristics and the neural network structure is estimated.

Citation Download Citation

Vladimir V. Berdnik and Valery A. Loiko "Retrieval of particle characteristics with high-order neural networks: application to scanning flow cytometry", Proc. SPIE 6734, International Conference on Lasers, Applications, and Technologies 2007: Laser Technologies for Medicine, 673417 (1 August 2007); https://doi.org/10.1117/12.753207

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available