Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis

Su-Long Nyeo, Rafat R. Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationOphthalmic Technologies XX
DOIs
Publication statusPublished - 2010 Dec 1
EventOphthalmic Technologies XX - San Francisco, CA, United States
Duration: 2010 Jan 232010 Jan 25

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7550
ISSN (Print)1605-7422

Other

OtherOphthalmic Technologies XX
CountryUnited States
CitySan Francisco, CA
Period10-01-2310-01-25

Fingerprint

Dynamic light scattering
learning
Crystalline Lens
light scattering
Learning
Lenses
lenses
Crystallins
mammals
Mammals
Learning algorithms
Dynamic Light Scattering

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Nyeo, S-L., & Ansari, R. R. (2010). Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis. In Ophthalmic Technologies XX [75501R] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7550). https://doi.org/10.1117/12.846644
Nyeo, Su-Long ; Ansari, Rafat R. / Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis. Ophthalmic Technologies XX. 2010. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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Nyeo, S-L & Ansari, RR 2010, Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis. in Ophthalmic Technologies XX., 75501R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7550, Ophthalmic Technologies XX, San Francisco, CA, United States, 10-01-23. https://doi.org/10.1117/12.846644

Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis. / Nyeo, Su-Long; Ansari, Rafat R.

Ophthalmic Technologies XX. 2010. 75501R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7550).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Nyeo S-L, Ansari RR. Analysis of dynamic light scattering data with sparse Bayesian learning for the study of cataractogenesis. In Ophthalmic Technologies XX. 2010. 75501R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.846644