title: Ssecrett and NeuroTrace: interactive visualization and analysis tools for large-scale neuroscience data sets.
abstract: Data sets imaged with modern electron microscopes can range from tens of terabytes to about one petabyte. Two new tools, Ssecrett and NeuroTrace, support interactive exploration and analysis of large-scale optical-and electron-microscopy images to help scientists reconstruct complex neural circuits of the mammalian nervous system.
authors.affiliation: Harvard University, Cambridge, MA, USA. wkjeong@seas.harvard.edu
authors.forename: Wan-Ki
authors.initials: WK
authors.lastname: Jeong
authors.forename: Johanna
authors.initials: J
authors.lastname: Beyer
authors.forename: Markus
authors.initials: M
authors.lastname: Hadwiger
authors.forename: Rusty
authors.initials: R
authors.lastname: Blue
authors.forename: Charles
authors.initials: C
authors.lastname: Law
authors.forename: Amelio
authors.initials: A
authors.lastname: Vazquez-Reina
authors.forename: R Clay
authors.initials: RC
authors.lastname: Reid
authors.forename: Jeff
authors.initials: J
authors.lastname: Lichtman
authors.forename: Hanspeter
authors.initials: H
authors.lastname: Pfister
mesh_terms: D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D019295:Computational Biology; D003196:Computer Graphics; D016208:Databases, Factual; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008854:Microscopy, Electron; D008959:Models, Neurological; D009488:Neurosciences / Q000379:methods*; D012984:Software