Exploring neuronal synapses with directional and symmetric frame filters with small support

Nikolaos Atreas; Nikolaos Karantzas; Manos Papadakis; Theodoros Stavropoulos

doi:10.1117/12.2275213

21 September 2017 Exploring neuronal synapses with directional and symmetric frame filters with small support

Nikolaos Atreas, Nikolaos Karantzas, Manos Papadakis, Theodoros Stavropoulos

Proceedings Volume 10394, Wavelets and Sparsity XVII; 1039413 (2017) https://doi.org/10.1117/12.2275213
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

Spines are protrusions of neuronal dendritic surfaces. These subcellular compartments are essential in neuronal information processing since electrical signals from other neurons are transmitted to dendrites via synaptic gateways located at dendritic spines. One of the important tasks for assessing synaptic strength is estimating the volume of spines, which is quite challenging because the image resolution for spines in live animal microscopy images is low and the level of noise is high. In order to carry out this task we develop a method for spine surface segmentation using sparse representations based on directional 3D filters with small spatial support.

Conference Presentation

Citation Download Citation

Nikolaos Atreas, Nikolaos Karantzas, Manos Papadakis, and Theodoros Stavropoulos "Exploring neuronal synapses with directional and symmetric frame filters with small support", Proc. SPIE 10394, Wavelets and Sparsity XVII, 1039413 (21 September 2017); https://doi.org/10.1117/12.2275213

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available