Bayesian Shape Calculation Examples
This example gallery contains proof-of-principle examples showcasing how calculations of the shape of data using Bayesian inference can be utilized in techniques throughout the physical and life sciences.
These implementations focus on “toy problems” that mimic real experimental systems. Their purpose is not to provide robust solutions, but rather to demonstrate the breadth and simplicity of the Bayesian shape calcuation method. While the code and concepts displayed here are currently preliminary, we hope to develop them into stand-alone solutions in the future. In the meantime, the code for these examples is freely available for use.
More Information
If these examples and/or the associated code are useful in your research project, please cite:
View the preprint: arXiv:2109.12462
Examples
Super-resolution Microscopy using BITS
This notebook is an example of how to super resolve spots in fluorescence microscopy data (a la Single-Molecule Localization Microscopy).
Signal processing using shapes
The following notebook deals with the issue of deconvolving a signal, in this case, the fluorescence lifetime decay curve, from a (known or unknown) instrument response function. The data shown here has been collected from real experiments by CKT.