The University of Southampton
University of Southampton Institutional Repository

Items where Division is "Current Faculties > Faculty of Environmental and Life Sciences > School of Biological Sciences > Neuroscience
School of Biological Sciences > Neuroscience" and Year is 2017

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Authors/Creators | Item Type
Jump to: A | B | Q | S
Number of items: 5.

A

Central and systemic inflammation in Dementia with Lewy bodies and Alzheimer's disease - J. Amin, T. Williams, J. Teeling, R. Dorey, D. Williams, E. Tommasino, D. Boche and C. Holmes
Type: Meeting abstract | 2017 | Item not available on this server.

Inflammation in Dementia with Lewy bodies - Jay Amin, Tony Williams, Jessica Teeling, Robert Dorey, Daisy Williams, Emmanuele Tommasino, Clive Holmes and Delphine Boche
Type: Meeting abstract | 2017 | Item not available on this server.

B

Quantitative evaluation of hard x-ray damage to biological samples using EUV ptychography - Peter Baksh, Michal Odstrčil, Aaron Parsons, Jo Bailey, Katrin Deinhardt, John E. Chad, William S. Brocklesby and Jeremy G. Frey
Type: Article | 2017

Q

Understanding the relationship between the perineuronal net and glia within the auditory pathway in a mouse model of age-related hearing loss - Shmma Quraishe, Genevieve Brixton, Bethan Impey, Edward Rogers, Carl Verschuur and Tracey Newman
Type: Conference or Workshop Item | 2017 | Item not available on this server.

S

A human 3D neural culture model utilising induced pluripotent stem cells from an Alzheimer's patient to study mechanisms of Alzheimer disease pathology - Elodie J. Siney, Preeti Prasannan, Shreyasi Chatterjee, Mariana Vargas-Caballero, Amritpal Mudher and Sandrine Willaime-Morawek
Type: Meeting abstract | 2017 | Item not available on this server.

This list was generated on Tue Dec 17 02:24:50 2024 GMT.
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×