Bayesian Inference Frameworks for Fluorescence Microscopy Data Analysis

Bayesian Inference Frameworks for Fluorescence Microscopy Data Analysis

abstract: In this work, I present a Bayesian inference computational framework for the analysis of widefield microscopy data that addresses three challenges: (1) counting and localizing stationary fluorescent molecules; (2) inferring a spatially-dependent effective fluorescence profile that describe...

Full description

Bibliographic Details
Other Authors: Wallgren, Ross Tod (Author)
Format: Dissertation
Language:English
Published: 2019
Subjects:
Mathematics
Statistics
Biophysics
bayesian
beta-bernoulli process
gaussian process
markov chain monte carlo
microscopy
superresolution
Online Access:http://hdl.handle.net/2286/R.I.53545

Internet

http://hdl.handle.net/2286/R.I.53545

Similar Items