Midterm Kristian Blokhuis

Drift estimation and correction in Single Molecule Localization Microscopy

Supervisor: dr. Carlas Smith 

Single Molecule Localization Microscopy (SMLM) enables super-resolution imaging at nanoscale precision. However, sample drift remains a significant challenge, compromising image quality. This presentation explores state-of-the-art methods for drift estimation and correction in SMLM, here the phasor method's effectiveness for its accuracy and computational efficiency, especially in constrained setups is highlighted. Additionally, closed-loop system identification methods, PBSIDopt (Predictor-Based Subspace IDentification optimal) and CL-MOESP (Closed Loop Multivariate Output Error State sPace), are examined for their capability to model complex nonlinear drift dynamics within a state-space framework. These methods enable the implementation of model-based controllers to achieve optimal real-time drift compensation in SMLM. Future experiments, using the rLP (relative Localization Precision) metric, will aim to demonstrate the advantages of model-based controllers over the conventional PID controllers currently employed.