The University of Southampton
University of Southampton Institutional Repository

A novel approach to determining the three-dimensional location of microscopic objects with applications to 3D particle tracking

A novel approach to determining the three-dimensional location of microscopic objects with applications to 3D particle tracking
A novel approach to determining the three-dimensional location of microscopic objects with applications to 3D particle tracking

Recent technological advances have rendered widefield fluorescence microscopy as an invaluable tool to image fast dynamics of trafficking events in two dimensions (i.e., in the plane of focus). Three-dimensional trafficking events are studied by sequentially imaging different planes within the specimen by moving the plane of focus with a focusing device. However, these devices are typically slow and hence when the cell is being imaged at one focal plane, important events could be missed at other focal planes. To overcome this limitation, we recently developed a novel imaging technique called multifocal plane microscopy that enables the simultaneous imaging of multiple focal planes within the sample. Here, by using tools of information theory, we present a quantitative evaluation of this technique in the context of 3D particle tracking. We calculate the Fisher information matrix for the problem of determining the 3D location of an object that is imaged on a multifocal plane setup. In this way, we derive a lower bound on the accuracy with which the object can be localized in 3D. We illustrate our results by considering the object of interest to be a single molecule. It is well known that a conventional widefield microscope has poor depth discrimination capability and therefore there exists significant uncertainty in determining the axial location of the object, especially when it is close to the plane of focus. Our results predict that the multifocal plane microscope setup offers improved accuracy in determining the axial location of objects than a conventional widefield microscope.

3D localization accuracy, 3D single molecule tracking, Cramer-Rao inequality, Fisher information matrix, Multifocal plane microscopy, Single molecule microscopy
SPIE
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Prabhat, Prashant
e79cffdb-4de8-42cc-b0f7-6d28f6d3c82e
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Prabhat, Prashant
e79cffdb-4de8-42cc-b0f7-6d28f6d3c82e
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36

Ram, Sripad, Chao, Jerry, Prabhat, Prashant, Ward, E. Sally and Ober, Raimund J. (2007) A novel approach to determining the three-dimensional location of microscopic objects with applications to 3D particle tracking. In Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIV. vol. 6443, SPIE.. (doi:10.1117/12.698763).

Record type: Conference or Workshop Item (Paper)

Abstract

Recent technological advances have rendered widefield fluorescence microscopy as an invaluable tool to image fast dynamics of trafficking events in two dimensions (i.e., in the plane of focus). Three-dimensional trafficking events are studied by sequentially imaging different planes within the specimen by moving the plane of focus with a focusing device. However, these devices are typically slow and hence when the cell is being imaged at one focal plane, important events could be missed at other focal planes. To overcome this limitation, we recently developed a novel imaging technique called multifocal plane microscopy that enables the simultaneous imaging of multiple focal planes within the sample. Here, by using tools of information theory, we present a quantitative evaluation of this technique in the context of 3D particle tracking. We calculate the Fisher information matrix for the problem of determining the 3D location of an object that is imaged on a multifocal plane setup. In this way, we derive a lower bound on the accuracy with which the object can be localized in 3D. We illustrate our results by considering the object of interest to be a single molecule. It is well known that a conventional widefield microscope has poor depth discrimination capability and therefore there exists significant uncertainty in determining the axial location of the object, especially when it is close to the plane of focus. Our results predict that the multifocal plane microscope setup offers improved accuracy in determining the axial location of objects than a conventional widefield microscope.

This record has no associated files available for download.

More information

e-pub ahead of print date: 14 February 2007
Published date: 2007
Venue - Dates: Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIV, , San Jose, CA, United States, 2007-01-23 - 2007-01-25
Keywords: 3D localization accuracy, 3D single molecule tracking, Cramer-Rao inequality, Fisher information matrix, Multifocal plane microscopy, Single molecule microscopy

Identifiers

Local EPrints ID: 423586
URI: http://eprints.soton.ac.uk/id/eprint/423586
PURE UUID: 84995ff6-93fc-4f76-acaa-7f6be2969d16
ORCID for E. Sally Ward: ORCID iD orcid.org/0000-0003-3232-7238
ORCID for Raimund J. Ober: ORCID iD orcid.org/0000-0002-1290-7430

Catalogue record

Date deposited: 27 Sep 2018 16:30
Last modified: 16 Mar 2024 04:37

Export record

Altmetrics

Contributors

Author: Sripad Ram
Author: Jerry Chao
Author: Prashant Prabhat
Author: E. Sally Ward ORCID iD
Author: Raimund J. Ober ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×