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).Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution
}
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 -