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Chip based microelectrode array systems for modelling neurodegenerative diseases
Khan, Muhammad Salman
(PhD Student)
Raiteri, Roberto
(Examiner)
Ruzgas, Tautgirdas
(Examiner)
Emnéus, Jenny
(Main Supervisor)
Heiskanen, Arto Rainer
(Supervisor)
Zór, Kinga Iudith
(Examiner)
Department of Biotechnology and Biomedicine
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
15/06/2017
→
25/01/2021
Funding
Marie Skłodowska-Curie actions
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Chip Device
Engineering
100%
Microelectrode Array
Engineering
100%
Hydrogel
Engineering
100%
Parkinson's Disease
Neuroscience
100%
Neurodegenerative Disorder
Neuroscience
100%
In Vivo
Neuroscience
66%
Microfabrication
Engineering
50%
Communication Network
Engineering
50%
Research output
Research output per year
2020
2020
2020
1
Ph.D. thesis
Research output per year
Research output per year
Chip based microelectrode array systems for modelling neurodegenerative diseases: A Multidisciplinary Approach to Model Neurodegenerative Disease
Khan, M. S.,
2020
, Kgs. Lyngby, Denmark:
DTU Bioengineering
.
201 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Chip Device
100%
Microelectrode Array
100%
Hydrogel
100%
Parkinson's Disease
100%
Neurodegenerative Disorder
100%
334
Downloads (Pure)