Real-time 3D single-molecule localization microscopy analysis using lookup tables

Fabian Hauser; Jaroslaw Jacak

doi:10.1364/boe.424016

Real-time 3D single-molecule localization microscopy analysis using lookup tables

Fabian Hauser, Jaroslaw Jacak

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

46 Downloads (Pure)

Abstract

Herein, we present a new algorithm for real-time analysis of 3D single molecule localization microscopy images with a small impact on fitting accuracy using lookup-tables with discrete xyz-positions. The algorithm realizes real-time visualization during acquisition. We demonstrate its performance on simulated and measured data. Additionally, combining real-time fitting with a feedback loop controlling the activation laser pulse keeps the number of emitters per image frame constant.

Original language	English
Pages (from-to)	4955-4968
Number of pages	14
Journal	Biomedical Optics Express
Volume	12
Issue number	8
DOIs	https://doi.org/10.1364/boe.424016
Publication status	Published - 1 Aug 2021

Keywords

Super resolution microscopy
Single Molecule Localization Microscopy
Microscopy
3D dSTORM
3D Localization Microscopy
Cells
Bioinformatics
Fitting Algorithm
Lookup Table
Software
Platelets
Simulation

Access to Document

10.1364/boe.424016Licence: CC BY

boe-12-8-4955Final published version, 8.03 MBLicence: CC BY

https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-12-8-4955Licence: CC BY

Cite this

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title = "Real-time 3D single-molecule localization microscopy analysis using lookup tables",

abstract = "Herein, we present a new algorithm for real-time analysis of 3D single molecule localization microscopy images with a small impact on fitting accuracy using lookup-tables with discrete xyz-positions. The algorithm realizes real-time visualization during acquisition. We demonstrate its performance on simulated and measured data. Additionally, combining real-time fitting with a feedback loop controlling the activation laser pulse keeps the number of emitters per image frame constant.",

keywords = "Super resolution microscopy, Single Molecule Localization Microscopy, Microscopy, 3D dSTORM, 3D Localization Microscopy, Cells, Bioinformatics, Fitting Algorithm, Lookup Table, Software, Platelets, Simulation",

author = "Fabian Hauser and Jaroslaw Jacak",

year = "2021",

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doi = "10.1364/boe.424016",

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AU - Jacak, Jaroslaw

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AB - Herein, we present a new algorithm for real-time analysis of 3D single molecule localization microscopy images with a small impact on fitting accuracy using lookup-tables with discrete xyz-positions. The algorithm realizes real-time visualization during acquisition. We demonstrate its performance on simulated and measured data. Additionally, combining real-time fitting with a feedback loop controlling the activation laser pulse keeps the number of emitters per image frame constant.

KW - Super resolution microscopy

KW - Single Molecule Localization Microscopy

KW - Microscopy

KW - 3D dSTORM

KW - 3D Localization Microscopy

KW - Cells

KW - Bioinformatics

KW - Fitting Algorithm

KW - Lookup Table

KW - Software

KW - Platelets

KW - Simulation

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EP - 4968

JO - Biomedical Optics Express

JF - Biomedical Optics Express

IS - 8

ER -

Real-time 3D single-molecule localization microscopy analysis using lookup tables

Abstract

Keywords

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Vascular MicroLab - Characterization of Thrombocyte Aggregation under Flow Conditions

3D localization microscopy of activated platelets on injured cells within a microfluidics

3D localization microscopy of human platelet activation via interaction with injured cells

Cite this

Real-time 3D single-molecule localization microscopy analysis using lookup tables

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Vascular MicroLab - Characterization of Thrombocyte Aggregation under Flow Conditions

Activities

3D localization microscopy of activated platelets on injured cells within a microfluidics

3D localization microscopy of human platelet activation via interaction with injured cells

Cite this