Computational super-resolution microscopy: leveraging noise model, regularization and sparsity to achieve highest resolution

摘要

We report progress in algorithm development for a computation-based super-resolution microscopy technique.Building upon previous results, we examine our recently implemented microscope system and construct alter-native processing algorithms. Based on numerical simulations results, we evaluate the performance of eachalgorithm and determine the one most suitable for our super-resolution microscope.