MUFASA: A Continuous-Time Stochastic Framework for Realistic Fluorescence Microscopy Simulation
Wessim Omezzine, Sébastien Schaub, Laure Blanc‐Féraud, Luca Calatroni
MUFASA simulates fluorescence microscopy data using continuous-time Markov chains and provides parameter estimation and validation tools for SMLM and FF-SRM protocols.
bioRxiv · Jul 10, 2025 · PreprintBiophysics