000201870 001__ 201870
000201870 005__ 20190317000011.0
000201870 0247_ $$2doi$$a10.1007/s12021-014-9242-5
000201870 022__ $$a1539-2791
000201870 02470 $$2ISI$$a000348422200007
000201870 037__ $$aARTICLE
000201870 245__ $$aNeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks
000201870 269__ $$a2015
000201870 260__ $$bHumana Press$$c2015
000201870 336__ $$aJournal Articles
000201870 520__ $$aSerial electron microscopy imaging is crucial for exploring the structure of cells and tissues. The development of block face scanning electron microscopy methods and their ability to capture large image stacks, some with near isotropic voxels, is proving particularly useful for the exploration of brain tissue. This has led to the creation of numerous algorithms and software for segmenting out different features from the image stacks. However, there are few tools available to view these results and make detailed morphometric analyses on all, or part, of these 3D models. We have addressed this issue by constructing a collection of software tools, called NeuroMorph, with which users can view the segmentation results, in conjunction with the original image stack, manipulate these objects in 3D, and make measurements of any region. This approach to collecting morphometric data provides a faster means of analysing the geometry of structures, such as dendritic spines and axonal boutons. This bridges the gap that currently exists between rapid reconstruction techniques, offered by computer vision research, and the need to collect measurements of shape and form from segmented structures that is currently done using manual segmentation methods.
000201870 6531_ $$aNeuroimaging software
000201870 6531_ $$a3D mesh analysis
000201870 6531_ $$a3D image segmentation analysis
000201870 6531_ $$aSerial section electron microscopy
000201870 6531_ $$aNeuron
000201870 6531_ $$aDendrite
000201870 6531_ $$aAxon
000201870 6531_ $$aSynapse
000201870 6531_ $$aCell morphology
000201870 700__ $$aJorstad, Anne
000201870 700__ $$aNigro, Biagio
000201870 700__ $$aCali, Corrado
000201870 700__ $$aWawrzyniak, Marta
000201870 700__ $$0240252$$g112366$$aFua, Pascal
000201870 700__ $$aKnott, Graham
000201870 773__ $$j13$$tNeuroinformatics$$k1$$q83-92
000201870 8564_ $$uhttps://infoscience.epfl.ch/record/201870/files/NeuroMorph2014.pdf$$zPublisher's version$$s2117150$$yPublisher's version
000201870 909C0 $$xU10659$$0252087$$pCVLAB
000201870 909CO $$qGLOBAL_SET$$pIC$$ooai:infoscience.tind.io:201870$$particle
000201870 917Z8 $$x225441
000201870 917Z8 $$x148230
000201870 937__ $$aEPFL-ARTICLE-201870
000201870 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000201870 980__ $$aARTICLE