@inproceedings{db31991f8e254b1ca98935cecbe82ef9,
title = "Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis",
abstract = "Dynamic light scattering (DLS) experimental data is statistical in nature and therefore requires a probabilistic analysis tool. The probabilistic sparse Bayesian learning (SBL) algorithm is introduced for analyzing DLS data from ocular lenses. The algorithm is used to reconstruct the most-relevant size distribution of the α-crystallins and their aggregates. The performance of the algorithm is evaluated by analyzing simulated data from a known distribution and experimental DLS data from the ocular lenses of several mammals.",
author = "Nyeo, {Su Long} and Ansari, {Rafat R.}",
year = "2010",
doi = "10.1117/12.846644",
language = "English",
isbn = "9780819479464",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Ophthalmic Technologies XX",
note = "Ophthalmic Technologies XX ; Conference date: 23-01-2010 Through 25-01-2010",
}