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Quantitative aspects of single-molecule microscopy: Information-theoretic analysis of single-molecule data

Quantitative aspects of single-molecule microscopy: Information-theoretic analysis of single-molecule data
Quantitative aspects of single-molecule microscopy: Information-theoretic analysis of single-molecule data

Single-molecule microscopy is a relatively new optical microscopy technique that allows the detection of individual molecules such as proteins in a cellular context. This technique has generated significant interest among biologists, biophysicists, and biochemists, as it holds the promise to provide novel insights into subcellular processes and structures that otherwise cannot be gained through traditional experimental approaches. Single-molecule experiments place stringent demands on experimental and algorithmic tools due to the low signal levels and the presence of significant extraneous noise sources. Consequently, this has necessitated the use of advanced statistical signal- and image-processing techniques for the design and analysis of single-molecule experiments. In this tutorial article, we provide an overview of single-molecule microscopy from early works to current applications and challenges. Specific emphasis will be on the quantitative aspects of this imaging modality, in particular single-molecule localization and resolvability, which will be discussed from an information-theoretic perspective. We review the stochastic framework for image formation, different types of estimation techniques, and expressions for the Fisher information matrix. We also discuss several open problems in the field that demand highly nontrivial signal processing algorithms.

Biomedical imaging, Biomedical signal processing, Detectors, Fluorescence, Image resolution, Microscopy, Molecular imaging, Optical imaging, Optical microscopy, Photonics, Signal resolution
1053-5888
58-69
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Tahmasbi, Amir
5a377bd3-4578-434f-919a-87804245791e
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ward, Elizabeth Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Tahmasbi, Amir
5a377bd3-4578-434f-919a-87804245791e
Ram, Sripad
559bd560-3817-4e53-8c7a-2f08e4518412
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ward, Elizabeth Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc

Ober, Raimund J., Tahmasbi, Amir, Ram, Sripad, Lin, Zhiping and Ward, Elizabeth Sally (2015) Quantitative aspects of single-molecule microscopy: Information-theoretic analysis of single-molecule data. IEEE Signal Processing Magazine, 32 (1), 58-69, [6975295]. (doi:10.1109/MSP.2014.2353664).

Record type: Article

Abstract

Single-molecule microscopy is a relatively new optical microscopy technique that allows the detection of individual molecules such as proteins in a cellular context. This technique has generated significant interest among biologists, biophysicists, and biochemists, as it holds the promise to provide novel insights into subcellular processes and structures that otherwise cannot be gained through traditional experimental approaches. Single-molecule experiments place stringent demands on experimental and algorithmic tools due to the low signal levels and the presence of significant extraneous noise sources. Consequently, this has necessitated the use of advanced statistical signal- and image-processing techniques for the design and analysis of single-molecule experiments. In this tutorial article, we provide an overview of single-molecule microscopy from early works to current applications and challenges. Specific emphasis will be on the quantitative aspects of this imaging modality, in particular single-molecule localization and resolvability, which will be discussed from an information-theoretic perspective. We review the stochastic framework for image formation, different types of estimation techniques, and expressions for the Fisher information matrix. We also discuss several open problems in the field that demand highly nontrivial signal processing algorithms.

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More information

e-pub ahead of print date: 4 December 2014
Published date: 1 January 2015
Keywords: Biomedical imaging, Biomedical signal processing, Detectors, Fluorescence, Image resolution, Microscopy, Molecular imaging, Optical imaging, Optical microscopy, Photonics, Signal resolution

Identifiers

Local EPrints ID: 423669
URI: http://eprints.soton.ac.uk/id/eprint/423669
ISSN: 1053-5888
PURE UUID: 3e7c03dc-8303-4c12-a827-5bab96f409c4
ORCID for Raimund J. Ober: ORCID iD orcid.org/0000-0002-1290-7430
ORCID for Elizabeth Sally Ward: ORCID iD orcid.org/0000-0003-3232-7238

Catalogue record

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

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Contributors

Author: Raimund J. Ober ORCID iD
Author: Amir Tahmasbi
Author: Sripad Ram
Author: Zhiping Lin

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