Single-molecule localization microscopy (SMLM) has revolutionized life science research by breaking the classical optical diffraction limit and permitting nanoscale characterization of intricate subcellular architectures. Representative modalities such as STORM, PALM and DNA-PAINT generate super-resolved reconstructions via pinpointing the spatial coordinates of vast quantities of discrete fluorescent emitters recorded across successive imaging frames. Nevertheless, the pursuit of exceptional resolving power entails a critical tradeoff: image acquisition typically lasts tens of minutes to several hours, rendering measurements highly vulnerable to thermal drift, mechanical vibrations, and optical fluctuations. Uncompensated drift inevitably blurs reconstructed images and erodes the intrinsic nanometer-scale precision that defines SMLM performance.
The review in PhotoniX Life summarizes two decades of progress in SMLM drift correction, providing a practical framework for researchers to select the best strategy for their experimental needs. The authors categorize established methods into four core groups, evaluating each on correction precision, hardware requirements, sample compatibility, and real-world applicability.
The review also discusses hybrid strategies that combine multiple methods, such as pairing real-time back-focal-plane axial focus locking with post-processing lateral corrections. These combinations mitigate the weaknesses of individual techniques and deliver robust performance for long-duration imaging, reflecting a growing trend in the field.
Looking ahead, the review identifies three key future directions: intelligent, self-adaptive algorithms optimized for low signal-to-noise conditions; label-free, minimally invasive correction strategies to reduce sample perturbation; and standardized, modality-specific correction pipelines for high-performance SMLM. These advancements are expected to broaden the application of SMLM in fundamental cell biology, disease mechanism research, and translational biomedical applications.
See the article:
Drift Correction Methods for Minimizing Motion Artifacts in Single-Molecule Localization Microscopy
https://doi.org
Systematic review
Not applicable
9-Jul-2026
The author(s) declare that they have no conflict of interest.