ArticleNature methods2023
Maximum-likelihood model fitting for quantitative analysis of SMLM data.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- The multifaceted significance of phosphoinositides in endocytic trafficking.FEBS letters · 2026Review
- Using iPALM to determine protein organisation in cardiac muscle Z-discs.PLoS computational biology · 2026Article
- Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.Nature communications · 2026Article
- Molecular mapping in DNA-PAINT via modified Gaussian Mixture Modeling.Nature communications · 2026Article
- Optimizing Effective Labeling Efficiency in MINFLUX 3D DNA-PAINT Microscopy by Maximizing Marker Detection Probability.ACS photonics · 2026Article
- Simulating Multicolor Super-Resolution Imaging Using an RGB Camera.Computational and structural biotechnology journal · 2026Article
- MINFLUX microscopy resolves subunits of the cardiac ryanodine receptor and its 3D orientation in cells.Nature communications · 2025Article
- Detecting continuous structural heterogeneity in single molecule localization microscopy data with a point cloud variational auto-encoder.Scientific reports · 2025Article
- Multi-step implementation of meiotic crossover patterning.bioRxiv : the preprint server for biology · 2025Article
- Bloom helicase contributes to successful crossover formation with both catalytic and structural roles in Caenorhabditis elegans meiosis.Nucleic acids research · 2025Article
- Super-resolution microscopy for structural biology.Nature methods · 2025Review
- From Biophysics to Biomedical Physics.ACS bio & med chem Au · 2025Review
- Physics-Inspired Single-Particle Tracking Accelerated with Parallelism.bioRxiv : the preprint server for biology · 2025Article
- Spatial and stoichiometric in situ analysis of biomolecular oligomerization at single-protein resolution.Nature communications · 2025Article
- MINFLUX achieves molecular resolution with minimal photons.Nature photonics · 2025Article
- ECLiPSE: a versatile classification technique for structural and morphological analysis of 2D and 3D single-molecule localization microscopy data.Nature methods · 2024Article
- AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.The Journal of cell biology · 2024Review
- Build and operation of a custom 3D, multicolor, single-molecule localization microscope.Nature protocols · 2024Review
- Universal inverse modeling of point spread functions for SMLM localization and microscope characterization.Nature methods · 2024Article
- Multiplexed and Millimeter-Scale Fluorescence Nanoscopy of Cells and Tissue Sections via Prism-Illumination and Microfluidics-Enhanced DNA-PAINT.Chemical & biomedical imaging · 2023Article
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6 authors.
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Abstract
Quantitative data analysis is important for any single-molecule localization microscopy (SMLM) workflow to extract biological insights from the coordinates of the single fluorophores. However, current approaches are restricted to simple geometries or require identical structures. Here, we present LocMoFit (Localization Model Fit), an open-source framework to fit an arbitrary model to localization coordinates. It extracts meaningful parameters from individual structures and can select the most suitable model. In addition to analyzing complex, heterogeneous and dynamic structures for in situ structural biology, we demonstrate how LocMoFit can assemble multi-protein distribution maps of six nuclear pore components, calculate single-particle averages without any assumption about geometry or symmetry, and perform a time-resolved reconstruction of the highly dynamic endocytic process from static snapshots. We provide extensive simulation and visualization routines to validate the robustness of LocMoFit and tutorials to enable any user to increase the information content they can extract from their SMLM data.
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