A common framework for single-molecule localization using sequential\n structured illumination Article Swipe

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Luciano A. Masullo , Lucía F. Lopez , Fernando D. Stefani ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2109.01234

Localization of single fluorescent molecules is key for physicochemical and biophysical measurements such as single-molecule tracking and super-resolution imaging by single-molecule localization microscopy (SMLM). Recently a series of methods have been developed in which the localization precision is enhanced by interrogating the molecular position with a sequence of spatially modulated patterns of light. Among them, the MINFLUX technique outstands for achieving a ~10-fold improvement compared to wide-field camera-based single-molecule localization, reaching ~1-2 nm localization precision at moderate photon counts. Here, we present a common mathematical framework for this type of measurement that allows a fair comparison between reported methods and facilitates the design and evaluation of new methods. With it, we benchmark all reported methods for single-molecule localization using sequential structured illumination, including long-established methods such as orbital tracking, along with two new proposed methods: orbital tracking and raster scanning with a minimum of intensity.

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Tracking (education) Benchmark (surveying) Position (finance) Computer science Molecule Single-molecule experiment Resolution (logic) Photon Computer vision Optics Biological system Artificial intelligence Physics Fluorescence Biology Psychology Economics Pedagogy Geography Geodesy Quantum mechanics Finance

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2109.01234
PDF: https://arxiv.org/pdf/2109.01234
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4286988512

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DOI: https://doi.org/10.48550/arxiv.2109.01234

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Title: A common framework for single-molecule localization using sequential\n structured illumination

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-09-02

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Authors: Luciano A. Masullo, Lucía F. Lopez, Fernando D. Stefani

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Landing page: https://arxiv.org/abs/2109.01234

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PDF URL: https://arxiv.org/pdf/2109.01234

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Concepts: Tracking (education), Benchmark (surveying), Position (finance), Computer science, Molecule, Single-molecule experiment, Resolution (logic), Photon, Computer vision, Optics, Biological system, Artificial intelligence, Physics, Fluorescence, Biology, Psychology, Economics, Pedagogy, Geography, Geodesy, Quantum mechanics, Finance

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