| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6941237 | Pattern Recognition Letters | 2015 | 9 Pages |
Abstract
We apply the ideas of zigzag persistence to determine the objects of interest in stacks of neuronal images, locating and marking different dendrites. In particular, this allows us to recognize some 3D properties of the objects, distinguishing dendrites that cross, but not intersect, in the ambient space. The algorithms are implemented in a Fiji/ImageJ plugin, usable on two different kinds of images.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Gadea Mata, Miguel Morales, Ana Romero, Julio Rubio,