title: Visualization of image data from cells to organisms.
abstract: Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.
authors.affiliation: European Molecular Biology Laboratory, Heidelberg, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Walter
authors.forename: David W
authors.initials: DW
authors.lastname: Shattuck
authors.forename: Richard
authors.initials: R
authors.lastname: Baldock
authors.forename: Mark E
authors.initials: ME
authors.lastname: Bastin
authors.forename: Anne E
authors.initials: AE
authors.lastname: Carpenter
authors.forename: Suzanne
authors.initials: S
authors.lastname: Duce
authors.forename: Jan
authors.initials: J
authors.lastname: Ellenberg
authors.forename: Adam
authors.initials: A
authors.lastname: Fraser
authors.forename: Nicholas
authors.initials: N
authors.lastname: Hamilton
authors.forename: Steve
authors.initials: S
authors.lastname: Pieper
authors.forename: Mark A
authors.initials: MA
authors.lastname: Ragan
authors.forename: Jurgen E
authors.initials: JE
authors.lastname: Schneider
authors.forename: Pavel
authors.initials: P
authors.lastname: Tomancak
authors.forename: Jean-Karim
authors.initials: JK
authors.lastname: Hériché
mesh_terms: D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008853:Microscopy / Q000379:methods