title: Biological imaging software tools.
abstract: Few technologies are more widespread in modern biological laboratories than imaging. Recent advances in optical technologies and instrumentation are providing hitherto unimagined capabilities. Almost all these advances have required the development of software to enable the acquisition, management, analysis and visualization of the imaging data. We review each computational step that biologists encounter when dealing with digital images, the inherent challenges and the overall status of available software for bioimage informatics, focusing on open-source options.
authors: Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA. eliceiri@wisc.edu
authors: Kevin W
authors: KW
authors: Eliceiri
authors: Michael R
authors: MR
authors: Berthold
authors: Ilya G
authors: IG
authors: Goldberg
authors: Luis
authors: L
authors: Ibáñez
authors: B S
authors: BS
authors: Manjunath
authors: Maryann E
authors: ME
authors: Martone
authors: Robert F
authors: RF
authors: Murphy
authors: Hanchuan
authors: H
authors: Peng
authors: Anne L
authors: AL
authors: Plant
authors: Badrinath
authors: B
authors: Roysam
authors: Nico
authors: N
authors: Stuurman
authors: Nico
authors: N
authors: Stuurmann
authors: Jason R
authors: JR
authors: Swedlow
authors: Pavel
authors: P
authors: Tomancak
authors: Anne E
authors: AE
authors: Carpenter
mesh_terms: D019295:Computational Biology / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D012984:Software; D012985:Software Design