title: Image storage for automated crystallization imaging systems.
abstract: To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.
authors.affiliation: Division of Structural Biology, University of Oxford, Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN, UK. ian@strubi.ox.ac.uk
authors.forename: Ian
authors.initials: I
authors.lastname: Berry
authors.forename: Julie
authors.initials: J
authors.lastname: Wilson
authors.forename: Jon
authors.initials: J
authors.lastname: Diprose
authors.forename: Dave
authors.initials: D
authors.lastname: Stuart
authors.forename: Stephen
authors.initials: S
authors.lastname: Fuller
authors.forename: Robert
authors.initials: R
authors.lastname: Esnouf
mesh_terms: D000465:Algorithms; D003460:Crystallization; D003461:Crystallography / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data; D021621:Imaging, Three-Dimensional / Q000379:methods*; D017434:Protein Structure, Tertiary; D012984:Software