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A software framework for the analysis of complex microscopy image data

A software framework for the analysis of complex microscopy image data
A software framework for the analysis of complex microscopy image data

Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management.

Image analysis, image viewer, microscopy, multidimensional data, software framework
1089-7771
1075-1087
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Chao, Jerry
550e20b0-8365-42e3-a6fc-1048eb8c2e47
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36

Chao, Jerry, Ward, E. Sally and Ober, Raimund J. (2010) A software framework for the analysis of complex microscopy image data. IEEE Transactions on Information Technology in Biomedicine, 14 (4), 1075-1087. (doi:10.1109/TITB.2010.2049024).

Record type: Article

Abstract

Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management.

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More information

e-pub ahead of print date: 26 April 2010
Published date: July 2010
Keywords: Image analysis, image viewer, microscopy, multidimensional data, software framework

Identifiers

Local EPrints ID: 423619
URI: https://eprints.soton.ac.uk/id/eprint/423619
ISSN: 1089-7771
PURE UUID: c37c62e8-fc19-43e5-a203-b9ae8d9a2b81
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: 20 Jul 2019 00:22

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Contributors

Author: Jerry Chao
Author: E. Sally Ward ORCID iD
Author: Raimund J. Ober ORCID iD

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