Early cataract detection by dynamic light scattering with sparse Bayesian learning

Su Long Nyeo, Rafat R. Ansari

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

Dynamic light scattering (DLS) is a promising technique for early cataract detection and for studying cataractogenesis. A novel probabilistic analysis tool, the sparse Bayesian learning (SBL) algorithm, is described for reconstructing the most-probable size distribution of α-crystallin and their aggregates in an ocular lens from the DLS data. The performance of the algorithm is evaluated by analyzing simulated correlation data from known distributions and DLS data from the ocular lenses of a fetal calf, a Rhesus monkey, and a man, so as to establish the required efficiency of the SBL algorithm for clinical studies.

原文English
頁(從 - 到)303-313
頁數11
期刊Journal of Innovative Optical Health Sciences
2
發行號3
DOIs
出版狀態Published - 2009 7月

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 醫藥(雜項)
  • 原子與分子物理與光學
  • 生物醫學工程

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