Visualization of image data from cells to organisms.
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.
Walter
Thomas
T
European Molecular Biology Laboratory, Heidelberg, Germany.
Shattuck
David W
DW
Baldock
Richard
R
Bastin
Mark E
ME
Carpenter
Anne E
AE
Duce
Suzanne
S
Ellenberg
Jan
J
Fraser
Adam
A
Hamilton
Nicholas
N
Pieper
Steve
S
Ragan
Mark A
MA
Schneider
Jurgen E
JE
Tomancak
Pavel
P
Hériché
Jean-Karim
JK
D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008853:Microscopy / Q000379:methods