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Intensity-based axial localization approaches for multifocal plane microscopy

Intensity-based axial localization approaches for multifocal plane microscopy
Intensity-based axial localization approaches for multifocal plane microscopy

Multifocal plane microscopy (MUM) can be used to visualize biological samples in three dimensions over large axial depths and provides for the high axial localization accuracy that is needed in applications such as the three-dimensional tracking of single particles and super-resolution microscopy. This report analyzes the performance of intensity-based axial localization approaches as applied to MUM data using Fisher information calculations. In addition, a new non-parametric intensity-based axial location estimation method, Multi- Intensity Lookup Algorithm (MILA), is introduced that, unlike typical intensity-based methods that make use of a single intensity value per data image, utilizes multiple intensity values per data image in determining the axial location of a point source. MILA is shown to be robust against potential bias induced by differences in the sub-pixel location of the imaged point source. The method's effectiveness on experimental data is also evaluated.

1094-4087
3394-3410
Velmurugan, Ramraj
4f2d41cd-90eb-4f61-b5e0-df6308726d28
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Velmurugan, Ramraj
4f2d41cd-90eb-4f61-b5e0-df6308726d28
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36

Velmurugan, Ramraj, Chao, Jerry, Ram, Sripad, Ward, E. Sally and Ober, Raimund J. (2017) Intensity-based axial localization approaches for multifocal plane microscopy. Optics Express, 25 (4), 3394-3410. (doi:10.1364/OE.25.003394).

Record type: Article

Abstract

Multifocal plane microscopy (MUM) can be used to visualize biological samples in three dimensions over large axial depths and provides for the high axial localization accuracy that is needed in applications such as the three-dimensional tracking of single particles and super-resolution microscopy. This report analyzes the performance of intensity-based axial localization approaches as applied to MUM data using Fisher information calculations. In addition, a new non-parametric intensity-based axial location estimation method, Multi- Intensity Lookup Algorithm (MILA), is introduced that, unlike typical intensity-based methods that make use of a single intensity value per data image, utilizes multiple intensity values per data image in determining the axial location of a point source. MILA is shown to be robust against potential bias induced by differences in the sub-pixel location of the imaged point source. The method's effectiveness on experimental data is also evaluated.

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More information

Accepted/In Press date: 4 February 2017
e-pub ahead of print date: 8 February 2017
Published date: 20 February 2017

Identifiers

Local EPrints ID: 423680
URI: http://eprints.soton.ac.uk/id/eprint/423680
ISSN: 1094-4087
PURE UUID: 35691f38-b2b4-4125-a089-3a9a775a8c24
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: 18 Mar 2024 03:48

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Contributors

Author: Ramraj Velmurugan
Author: Jerry Chao
Author: Sripad Ram
Author: E. Sally Ward ORCID iD
Author: Raimund J. Ober ORCID iD

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