title: Morphological analysis and feature extraction of neurons from mouse cortices multiscale 3D microscopic images.
abstract: In this paper, we propose a framework to analyze the morphology of mouse neurons in the layer V of the cortex from 3D microscopic images. We are given 8 sets of images, each of which is composed of a 10x image showing the whole neurons, and a few (2 to 5) 40x images focusing on the somas. The framework consists in segmenting the neurons on both types of images to compute a set of specific morphological features, and in matching the neurons in the 40x images to their counterparts in the 10x images to combine the features we obtained, in a fully automatic fashion.
authors.forename: Alexis
authors.initials: A
authors.lastname: Zubiolo
authors.forename: Kawssar
authors.initials: K
authors.lastname: Harb
authors.forename: Michele
authors.initials: M
authors.lastname: Studer
authors.forename: Eric
authors.initials: E
authors.lastname: Debreuve
authors.forename: Xavier
authors.initials: X
authors.lastname: Descombes
mesh_terms: D000465:Algorithms; D000818:Animals; D002540:Cerebral Cortex / Q000166:cytology*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D051379:Mice; D009474:Neurons / Q000502:physiology*; D011382:Programming, Linear