Advances in imaging acquisition and labeling techniques in recent years have increased the availability of high resolution images in the field of neuroscience. To process such data there is a need for improved algorithms that are capable of capturing complex morphological structures in multidimensional data in a highly sensitive and comprehensive manner. I will present methods from multiscale analysis targeted to neuroscience imaging for the automated extraction of morphological features from fluorescent images of neuronas.

This presentation is part of Minisymposium “MS69 - Anisotropic multi scale methods and biomedical imaging”
organized by: Davide Barbieri (Universidad Autonoma de Madrid) , Demetrio Labate (University of Houston) .

Authors:

Demetrio Labate (University of Houston)

Keywords:

image reconstruction, image representation, image segmentation, machine learning, neuronal tracing