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J Machtynger

Publications and source records attributed to J Machtynger.

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VANQUIS, a system for the interactive semantic content analysis and spatio-temporal query by content of videos.

Using the video metadata descriptors and data model defined in the accompanying paper (Shotton, D. M. et al. (2002) A metadata classification schema for semantic content analysis of videos. J. Microsc. 205, 33-42), we discuss how analysis of the content of scientific videos, and subsequent query by content of the resulting semantic metadata, can be enhanced by the use of an object-relational database. We illustrate this by describing VANQUIS, a Web-based prototype video analysis and query interface system for the interactive spatio-temporal analysis and subsequent query by content of videos. Using VANQUIS to generate standard SQL (structured query language) statements that address complex data types stored in an object-relational database, relationships between characters and events contained within and between videos can be identified, and the appropriate video segments containing these characters and events can be retrieved for viewing. We give examples of analysis and query implementation by using VANQUIS to analyse a biological microscopy video, and discuss the wider potential of this methodology for the analysis and query by content of videos containing more general subject matter.

Comment↗

Organising multi-dimensional biological image information: the BioImage Database.

Nowadays it is possible to unravel complex information at all levels of cellular organization by obtaining multi-dimensional image information. At the macromolecular level, three-dimensional (3D) electron microscopy, together with other techniques, is able to reach resolutions at the nanometer or subnanometer level. The information is delivered in the form of 3D volumes containing samples of a given function, for example, the electron density distribution within a given macromolecule. The same situation happens at the cellular level with the new forms of light microscopy, particularly confocal microscopy, all of which produce biological 3D volume information. Furthermore, it is possible to record sequences of images over time (videos), as well as sequences of volumes, bringing key information on the dynamics of living biological systems. It is in this context that work on BioImage started two years ago, and that its first version is now presented here. In essence, BioImage is a database specifically designed to contain multi-dimensional images, perform queries and interactively work with the resulting multi-dimensional information on the World Wide Web, as well as accomplish the required cross-database links. Two sister home pages of BioImage can be accessed at http://www. bioimage.org and http://www-embl.bioimage.org

Bacterial Proteins↗

Design and realization of an on-line database for multidimensional microscopic images of biological specimens.

The BioImage database is a new scientific database for multidimensional microscopic images of biological specimens, which is available through the World Wide Web (WWW). The development of this database has followed an iterative approach, in which requirements and functionality have been revised and extended. The complexity and innovative use of the data meant that technical and biological expertise has been crucial in the initial design of the data model. A controlled vocabulary was introduced to ensure data consistency. Pointers are used to reference information stored in other databases. The data model was built using InfoModeler as a database design tool. The database management system is the Informix Dynamic Server with Universal Data Option. This object-relational system allows the handling of complex data using features such as collection types, inheritance, and user-defined data types. Informix datablades are used to provide additional functionality: the Web Integration Option enables WWW access to the database; the Video Foundation Blade provides functionality for video handling.

Animals↗