• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Carmen Bartic
 

Carmen Bartic

on

  • 1,073 views

 

Statistics

Views

Total Views
1,073
Views on SlideShare
1,072
Embed Views
1

Actions

Likes
1
Downloads
0
Comments
0

1 Embed 1

http://www.tesla73.com 1

Accessibility

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Carmen Bartic Carmen Bartic Presentation Transcript

    • Micro & NanoTechnologies for Neuroscience Carmen Bartic, PhD – IMEC 16-12-2008
    • Can micro and nanotechnologies contribute to progress in Neuroscience? HOW?
    • MOS transistor SYNAPSE FU NC TI ON AL CO 30-50 nm NN EC T IO N
    • NanoIONICS NanoELECTRONICS MOS transistor 5/ TE ium IN nt L Pe
    • APPLICATIONS BASIC NEUROSCIENCE CLINICAL NEUROSCIENCE • Study of cellular communication/signaling • Neuronal regeneration Test platforms for drugs/molecules • Neuroprotection • High resolution imaging • Neuromodulation Molecular dynamics and tracking • High resolution imaging
    • Some examples: in vitro
    • Some examples: in vivo Rat cortical recordings
    • NERF Mission • Identify potential applications of nanotechnologies in neuroscience in order to maximize their impact • Implement these technologies and generate progress in fundamental brain understanding KULeuven/UZ-driven neuro-surgery & medical imaging KULeuven/UZ APPROACH: VIB Neuro-surgery Medical Imaging Clinical setting IMEC-driven neuro-electronics VIB-driven neuro-biology CONVERGENCE & Brain Neuro- NERF Computer biology INTERDISCIPLINARITY Interface IMEC XXXX UGent/UZ UGent-driven JJJ
    • Key technologies • Micro & Nano multifunctional probes » Specific targeting » Recording and stimulation at molecular level » Imaging • Large matrices of sensors & actuators » High throughput, network data » Function integration • Closed loop systems » Feedback recording-neuromodulation (therapy) » Autonomous systems (wireless, telemetry) » Algorithms » Artifact removal strategies
    • In a nutshell • Challenges are huge, but the impact could be tremendous • Interdisciplinarity is key for progress: define applications and focus • In depth implication of specialists in neurobiology, neurology, engineering, material sciences towards technology development
    • Thank you! Questions?