Parameter optimization for MINFLUX microscopy enabled single particle tracking

MINFLUX fluorescence microscopy is a recently introduced super-resolution approach for studying cellular structures and their dynamics with highest detail. MINFLUX (MFX) performs Single Particle Tracking (SPT) at runtime. The ad hoc signal interpretation necessary to sustain the method relies on several parameters, which need to be optimized in relation to the sample under study, such as fluorescent lipid analogs in membranes, to ensure the fidelity of the measurement. We propose a parameter optimization strategy, give an overview of the most important parameters, present a theoretical upper limit for trackable diffusion rates, and demonstrate MFX-enabled SPT of fast <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mfenced> <mml:mrow> <mml:mfenced> <mml:mrow> <mml:msub><mml:mrow><mml:mi>D</mml:mi></mml:mrow> <mml:mrow><mml:mi>MSD</mml:mi></mml:mrow> </mml:msub> </mml:mrow> </mml:mfenced> <mml:mo>=</mml:mo> <mml:mn>2.5</mml:mn> <mml:mi>μ</mml:mi> <mml:msup><mml:mrow><mml:mi>m</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> <mml:mo>/</mml:mo> <mml:mi>s</mml:mi></mml:mrow> </mml:mfenced> </mml:math> lateral Brownian motion of lipids in membranes.

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Publication Details

Journal
Communications Biology
Published
2025-11-14
DOI
https://doi.org/10.1038/s42003-025-09060-1
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

Parameter optimization for MINFLUX microscopy enabled single particle tracking

Bela T. L. Vogler, Francesco Reina, Ziliang Zhao, Christian Eggeling et al.
1 citations
Communications Biology
Advanced Fluorescence Microscopy Techniques
1.63
article

Parameter optimization for MINFLUX microscopy enabled single particle tracking

Bela T. L. Vogler, Francesco Reina, Ziliang Zhao, Christian Eggeling, Giovanni De Angelis
article en
1 citations

Abstract

MINFLUX fluorescence microscopy is a recently introduced super-resolution approach for studying cellular structures and their dynamics with highest detail. MINFLUX (MFX) performs Single Particle Tracking (SPT) at runtime. The ad hoc signal interpretation necessary to sustain the method relies on several parameters, which need to be optimized in relation to the sample under study, such as fluorescent lipid analogs in membranes, to ensure the fidelity of the measurement. We propose a parameter optimization strategy, give an overview of the most important parameters, present a theoretical upper limit for trackable diffusion rates, and demonstrate MFX-enabled SPT of fast <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mfenced> <mml:mrow> <mml:mfenced> <mml:mrow> <mml:msub><mml:mrow><mml:mi>D</mml:mi></mml:mrow> <mml:mrow><mml:mi>MSD</mml:mi></mml:mrow> </mml:msub> </mml:mrow> </mml:mfenced> <mml:mo>=</mml:mo> <mml:mn>2.5</mml:mn> <mml:mi>μ</mml:mi> <mml:msup><mml:mrow><mml:mi>m</mml:mi></mml:mrow> <mml:mrow><mml:mn>2</mml:mn></mml:mrow> </mml:msup> <mml:mo>/</mml:mo> <mml:mi>s</mml:mi></mml:mrow> </mml:mfenced> </mml:math> lateral Brownian motion of lipids in membranes.

Communications BiologyVol. 8(1)
University of Vienna (AT), Leibniz Institute of Photonic Technology (DE), Max Perutz Labs (AT), Ernst Abbe University of Applied Sciences Jena (DE), Friedrich Schiller University Jena (DE)
Alexander von Humboldt-Stiftung, Friedrich-Schiller-Universität Jena, Freistaat Thüringen, Deutsche Forschungsgemeinschaft, Thüringer Ministerium für Wirtschaft, Wissenschaft und Digitale Gesellschaft, Leibniz-Gemeinschaft
Openalex Percentile: Top 11%
Advanced Fluorescence Microscopy Techniques
1.63
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