Username: Password:
Calendar 
Calendar eventCalendar
Sat 18 Nov 2017
Sun 19 Nov 2017
uzunbas
Mon 20 Nov 2017
Tue 21 Nov 2017
Wed 22 Nov 2017
Thu 23 Nov 2017
Fri 24 Nov 2017
View next topic
View previous topic

Post new topicReply to topic View previous topicEmail to a Friend.List users that have viewed this topicSave this Topic as filePrintable versionLog in to check your private messagesView next topic
Author Message
vpa
Site Admin



Joined: 16 May 2005
Posts: 1777

blank.gif
Name: vpa
PostPosted: Tue Feb 23, 2016 9:41 am  Post subject:  SPINES: Dendritic Spine Analysis Reply with quoteBottom of PageBack to top




Title : SPINES: Dendritic Spine Analysis
Leader: Mujdat Cetin
Team: Devrim Ünay, Mujdat Cetin, Inbal Israely, Tolga Taşdizen, Lavdie Rada, Sümeyra Demir Kanık, Ali Özgür Argunşah, Ertunç Erdil, Muhammad Usman Ghani, Naeimeh Atabakilachini, Sevim Çalışkan
Supporting Organizations: Scientific and Technological Research Council of Turkey
Budget:
Contact: Mujdat Cetin
Contact Email: mcetin@sabanciuniv.edu
Mailing address:
http://spines.sabanciuniv.edu/

Start Date:
End Date:
Status:ended


Description:
Recent findings on the structural dynamics and functional plasticity of dendritic spines (small protrusions from a neuron’s dendrite) in pyramidal neurons have shown that density and morphology of spines are correlated with memory and learning. Thus, understanding how activity correlates with structural changes of spines may provide an important link to elucidating how information is stored in the brain, and may contribute to our understanding of several neurodevelopmental disorders, such as Fragile-X and neurodegenerative diseases, which involve abnormalities in both spine structure and function. Recent advances in the field of neuron imaging together with the increased number of studies focused on neuronal structure leads to the collection of vast amount of data to be analyzed, which is conventionally realized manually by neuroscientists. However, such manual analysis is time-consuming and prone to human error. As a result, developing image analysis tools for fast, robust, and accurate analysis of structural, spatial, and temporal changes in dendritic spines has recently emerged as a challenging research topic. Tools for processing spine images have mostly been developed for conventional confocal microscopy images of static tissue samples. Yet, the need for processing two-photon microscopy data, which can enable studies on dynamic plasticity, is rising. While two-photon microscopes provide dynamic data, the quality of the acquired images is very low. Accordingly, our research has focused on developing new probabilistic and machine-learning based image processing algorithms for the analysis of learning-related changes in dendritic spines from time-series two-photon microscopy data, which is supported by the Scientific and Technological Research Council of Turkey (grant no: 113E603).

The long-term vision of this research project is to develop efficient and flexible image processing modules that have the ability to learn from and adapt to the provided data, and to share these modules with neuro-scientists. In this respect, the algorithms developed in this project will be included in a Matlab-based toolbox, SpineS, that will have an easy-to-use graphical user interface.




HP : http://vpa.sabanciuniv.edu/projects/SpineS


[web]http://vpa.sabanciuniv.edu/projects/SpineS[/web]


   OfflinePersonal Gallery of vpaView user's profileSend private messageSend e-mail
Display posts from previous:      
Post new topicReply to topic View previous topicEmail to a Friend.List users that have viewed this topicSave this Topic as filePrintable versionLog in to check your private messagesView next topic

View next topic
View previous topic
You cannot post new topics in this forum
You cannot reply to topics in this forum
You cannot edit your posts in this forum
You cannot delete your posts in this forum
You cannot vote in polls in this forum
You cannot attach files in this forum
You cannot download files in this forum