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Open tools for storage and management of quantitative image data

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Open tools for storage and management of quantitative image data. / Moore, Joshua; Allan, Chris; Burel, Jean-Marie; Loranger, Brian; MacDonald, Donald; Monk, Jonathan; Swedlow, Jason R.

Fluorescent Proteins. Vol. 85 2nd. ed. San Diego : Academic Press, 2008. p. 555-+ (Methods in Cell Biology; Vol. 85).

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Harvard

Moore, J, Allan, C, Burel, J-M, Loranger, B, MacDonald, D, Monk, J & Swedlow, JR 2008, 'Open tools for storage and management of quantitative image data'. in Fluorescent Proteins. 2nd edn, vol. 85, Methods in Cell Biology, vol. 85, Academic Press, San Diego, pp. 555-+., 10.1016/S0091-679X(08)85024-8

APA

Moore, J., Allan, C., Burel, J-M., Loranger, B., MacDonald, D., Monk, J., & Swedlow, J. R. (2008). Open tools for storage and management of quantitative image data. In Fluorescent Proteins. (2nd ed., Vol. 85, pp. 555-+). (Methods in Cell Biology; Vol. 85). San Diego: Academic Press. 10.1016/S0091-679X(08)85024-8

Vancouver

Moore J, Allan C, Burel J-M, Loranger B, MacDonald D, Monk J et al. Open tools for storage and management of quantitative image data. In Fluorescent Proteins. 2nd ed. Vol. 85. San Diego: Academic Press. 2008. p. 555-+. (Methods in Cell Biology). Available from: 10.1016/S0091-679X(08)85024-8

Author

Moore, Joshua; Allan, Chris; Burel, Jean-Marie; Loranger, Brian; MacDonald, Donald; Monk, Jonathan; Swedlow, Jason R. / Open tools for storage and management of quantitative image data.

Fluorescent Proteins. Vol. 85 2nd. ed. San Diego : Academic Press, 2008. p. 555-+ (Methods in Cell Biology; Vol. 85).

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Bibtex - Download

@inbook{7c53fe634de94af5ae70ee41c20a3bee,
title = "Open tools for storage and management of quantitative image data",
keywords = "OPEN MICROSCOPY ENVIRONMENT, INFORMATICS",
publisher = "Elsevier",
author = "Joshua Moore and Chris Allan and Jean-Marie Burel and Brian Loranger and Donald MacDonald and Jonathan Monk and Swedlow, {Jason R.}",
year = "2008",
doi = "10.1016/S0091-679X(08)85024-8",
volume = "85",
edition = "2nd",
series = "Methods in Cell Biology",
pages = "555-+",
booktitle = "Fluorescent Proteins",

}

RIS (suitable for import to EndNote) - Download

TY - CHAP

T1 - Open tools for storage and management of quantitative image data

A1 - Moore,Joshua

A1 - Allan,Chris

A1 - Burel,Jean-Marie

A1 - Loranger,Brian

A1 - MacDonald,Donald

A1 - Monk,Jonathan

A1 - Swedlow,Jason R.

AU - Moore,Joshua

AU - Allan,Chris

AU - Burel,Jean-Marie

AU - Loranger,Brian

AU - MacDonald,Donald

AU - Monk,Jonathan

AU - Swedlow,Jason R.

PB - Academic Press

CY - San Diego

PY - 2008

Y1 - 2008

N2 - <p>The explosion in quantitative imaging has driven the need to develop tools for storing, managing, analyzing, and viewing large sets of data. In this chapter, we discuss tools we have built for storing large data sets for the lifetime of a typical research project. As part of the Open Microscopy Environment (OME) Consortium, we have built a series of open-source tools that support the manipulation and visualization of large sets of complex image data. Images from a number of proprietary file formats can be imported and then accessed from a single server running in a laboratory or imaging facility. We discuss the capabilities of the OME Server, a Perl-based data management system that is designed for large-scale analysis of image data using a web browser-based user interface. In addition, we have recently released a lighter weight Java-based OME Remote Objects Server that supports remote applications for managing and viewing image data. Together these systems provide a suite of tools for large-scale quantitative imaging that is now commonly used throughout cell and developmental biology.</p>

AB - <p>The explosion in quantitative imaging has driven the need to develop tools for storing, managing, analyzing, and viewing large sets of data. In this chapter, we discuss tools we have built for storing large data sets for the lifetime of a typical research project. As part of the Open Microscopy Environment (OME) Consortium, we have built a series of open-source tools that support the manipulation and visualization of large sets of complex image data. Images from a number of proprietary file formats can be imported and then accessed from a single server running in a laboratory or imaging facility. We discuss the capabilities of the OME Server, a Perl-based data management system that is designed for large-scale analysis of image data using a web browser-based user interface. In addition, we have recently released a lighter weight Java-based OME Remote Objects Server that supports remote applications for managing and viewing image data. Together these systems provide a suite of tools for large-scale quantitative imaging that is now commonly used throughout cell and developmental biology.</p>

KW - OPEN MICROSCOPY ENVIRONMENT

KW - INFORMATICS

U2 - 10.1016/S0091-679X(08)85024-8

DO - 10.1016/S0091-679X(08)85024-8

M1 - Other chapter contribution

VL - 85

BT - Fluorescent Proteins

T2 - Fluorescent Proteins

T3 - Methods in Cell Biology

T3 - en_GB

SP - 555-+

ER -

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