Localization Model Fit (LocMoFit) is a tool that enables fitting of super-resolution microscopy data to an arbitrary geometric model. The fit extracts quantitative parameters of individual cellular structures, which can be used to investigate dynamic and heterogenous protein assemblies and to create average protein distribution maps.
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References
Liu, S., Hoess, P. & Ries, J. Super-resolution microscopy for structural cell biology. Annu. Rev. Biophys. 51, 301–326 (2022). A comprehensive review that summarizes the applications of super-resolution microscopy in structural cell biology.
Wu, Y.-L., Tschanz, A., Krupnik, L. & Ries, J. Quantitative data analysis in single-molecule localization microscopy. Trends Cell Biol. 30, 837–851 (2020). A review article that summarizes current quantitative data analysis approaches in single-molecule localization microscopy.
Ries, J. SMAP: a modular super-resolution microscopy analysis platform for SMLM data. Nat. Methods 17, 870–872 (2020). This is an overview of our super-resolution microscopy analysis platform, which provides easy access to LocMoFit.
Mund, M. et al. Super-resolution microscopy reveals partial preassembly and subsequent bending of the clathrin coat during endocytosis. Preprint at bioRxiv https://doi.org/10.1101/2021.10.12.463947 (2021). This preprint paper reports a real-life application of LocMoFit to answer biological questions.
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This is a summary of: Wu, Y.-L. et al. Maximum-likelihood model fitting for quantitative analysis of SMLM data. Nat. Methods https://doi.org/10.1038/s41592-022-01676-z (2022).
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LocMoFit quantifies cellular structures in super-resolution data. Nat Methods 20, 44–45 (2023). https://doi.org/10.1038/s41592-022-01696-9
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DOI: https://doi.org/10.1038/s41592-022-01696-9
