ArticleBiophysical journal2015
Optimal Drift Correction for Superresolution Localization Microscopy with Bayesian Inference.
Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- Fiduciary-Free Frame Alignment for Robust Time-Lapse Drift Correction Estimation in Multi-Sample Cell Microscopy.Journal of imaging · 2024Article
- Estimating the localization spread function of static single-molecule localization microscopy images.Biophysical journal · 2022Article
- Robust, fiducial-free drift correction for super-resolution imaging.Scientific reports · 2021Article
- A mean shift algorithm for drift correction in localization microscopy.Biophysical reports · 2021Article
- Challenges facing quantitative large-scale optical super-resolution, and some simple solutions.iScience · 2021Review
- Super-resolution Microscopy with Single Molecules in Biology and Beyond-Essentials, Current Trends, and Future Challenges.Journal of the American Chemical Society · 2020Review
- Guided nuclear exploration increases CTCF target search efficiency.Nature chemical biology · 2020Article
- Distinct Classes of Chromatin Loops Revealed by Deletion of an RNA-Binding Region in CTCF.Molecular cell · 2019Article
- Single-molecule localization microscopy as nonlinear inverse problem.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells.Journal of visualized experiments : JoVE · 2018Article
- Super-Resolution Microscopy: Shedding Light on the Cellular Plasma Membrane.Chemical reviews · 2017Review
- A Simple Marker-Assisted 3D Nanometer Drift Correction Method for Superresolution Microscopy.Biophysical journal · 2017Article
- Article
- Centroid precision and orientation precision of planar localization microscopy.Journal of microscopy · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Single-molecule-localization-based superresolution microscopy requires accurate sample drift correction to achieve good results. Common approaches for drift compensation include using fiducial markers and direct drift estimation by image correlation. The former increases the experimental complexity and the latter estimates drift at a reduced temporal resolution. Here, we present, to our knowledge, a new approach for drift correction based on the Bayesian statistical framework. The technique has the advantage of being able to calculate the drifts for every image frame of the data set directly from the single-molecule coordinates. We present the theoretical foundation of the algorithm and an implementation that achieves significantly higher accuracy than image-correlation-based estimations.
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Registered trials
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