Single-Particle Tracking with Scanning Non-Linear Microscopy

This study describes the adaptation of non-linear microscopy for single-particle tracking (SPT), a method commonly used in biology with single-photon fluorescence. Imaging moving objects with non-linear microscopy raises difficulties due to the scanning process of the acquisitions. The interest of t...

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Main Authors: Théo Travers, Vincent G. Colin, Matthieu Loumaigne, Régis Barillé, Denis Gindre
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/10/8/1519
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author Théo Travers
Vincent G. Colin
Matthieu Loumaigne
Régis Barillé
Denis Gindre
author_facet Théo Travers
Vincent G. Colin
Matthieu Loumaigne
Régis Barillé
Denis Gindre
author_sort Théo Travers
collection DOAJ
description This study describes the adaptation of non-linear microscopy for single-particle tracking (SPT), a method commonly used in biology with single-photon fluorescence. Imaging moving objects with non-linear microscopy raises difficulties due to the scanning process of the acquisitions. The interest of the study is based on the balance between all the experimental parameters (objective, resolution, frame rate) which need to be optimized to record long trajectories with the best accuracy and frame rate. To evaluate the performance of the setup for SPT, several basic estimation methods are used and adapted to the new detection process. The covariance-based estimator (CVE) seems to be the best way to evaluate the diffusion coefficient from trajectories using the specific factors of motion blur and localization error.
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spelling doaj.art-43791133350e46fc9b23cdb607f4dfab2023-11-20T08:57:16ZengMDPI AGNanomaterials2079-49912020-08-01108151910.3390/nano10081519Single-Particle Tracking with Scanning Non-Linear MicroscopyThéo Travers0Vincent G. Colin1Matthieu Loumaigne2Régis Barillé3Denis Gindre4MOLTECH-Anjou Laboratory, UMR CNRS 6200, University of Angers, 2 bd Lavoisier, 49045 Angers CEDEX, FranceMOLTECH-Anjou Laboratory, UMR CNRS 6200, University of Angers, 2 bd Lavoisier, 49045 Angers CEDEX, FranceMOLTECH-Anjou Laboratory, UMR CNRS 6200, University of Angers, 2 bd Lavoisier, 49045 Angers CEDEX, FranceMOLTECH-Anjou Laboratory, UMR CNRS 6200, University of Angers, 2 bd Lavoisier, 49045 Angers CEDEX, FranceMOLTECH-Anjou Laboratory, UMR CNRS 6200, University of Angers, 2 bd Lavoisier, 49045 Angers CEDEX, FranceThis study describes the adaptation of non-linear microscopy for single-particle tracking (SPT), a method commonly used in biology with single-photon fluorescence. Imaging moving objects with non-linear microscopy raises difficulties due to the scanning process of the acquisitions. The interest of the study is based on the balance between all the experimental parameters (objective, resolution, frame rate) which need to be optimized to record long trajectories with the best accuracy and frame rate. To evaluate the performance of the setup for SPT, several basic estimation methods are used and adapted to the new detection process. The covariance-based estimator (CVE) seems to be the best way to evaluate the diffusion coefficient from trajectories using the specific factors of motion blur and localization error.https://www.mdpi.com/2079-4991/10/8/1519non-linear microscopytwo-photon fluorescence imagingscanning microscopysingle particle trackingfree diffusionparticle size characterization
spellingShingle Théo Travers
Vincent G. Colin
Matthieu Loumaigne
Régis Barillé
Denis Gindre
Single-Particle Tracking with Scanning Non-Linear Microscopy
Nanomaterials
non-linear microscopy
two-photon fluorescence imaging
scanning microscopy
single particle tracking
free diffusion
particle size characterization
title Single-Particle Tracking with Scanning Non-Linear Microscopy
title_full Single-Particle Tracking with Scanning Non-Linear Microscopy
title_fullStr Single-Particle Tracking with Scanning Non-Linear Microscopy
title_full_unstemmed Single-Particle Tracking with Scanning Non-Linear Microscopy
title_short Single-Particle Tracking with Scanning Non-Linear Microscopy
title_sort single particle tracking with scanning non linear microscopy
topic non-linear microscopy
two-photon fluorescence imaging
scanning microscopy
single particle tracking
free diffusion
particle size characterization
url https://www.mdpi.com/2079-4991/10/8/1519
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