We present a multi-dimensional Bayesian framework to estimate parameters of the CSF from experimental data obtained by classical sampling. The framework is easy to use and significantly improves the accuracy and precision of parameter estimates from usual strategies.
A demo video of simulation of measuring an amblyopic CSF (dashed line) with simple staircase sampling and 2-D Bayesian inference.
912, Building
of School of LifeScience, University of Science & Technology of China
Tel: 86-0551-63601436 86-0551-63600436
