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The University of Southampton
BRAIN UK

Lay Summaries of studies supported by BRAIN UK by category: Control

BRAIN UK Ref: 14/014
Positive control tissue in direct and indirect immunohistochemistry, Western blot or other protein detection techniques
Dr I Galea, University of Southampton

The aim of this project is to ensure that certain laboratory reagents (antibodies), used in research projects, are performing as well as they should. This quality control utilizes human brain tissue which has been fixed in formalin. The choice of human tissue will depend on which reagent is being tested. For example it may be normal human brain tissue if the reagent recognizes a normal protein. On the other hand it may be human brain tissue from someone dying of a brain bleed, if the reagent recognizes abnormal proteins that are a consequence of haemorrhage. In laboratory terminology, this type of tissue is called “positive control” tissue since the reagent should result in a positive result in the laboratory when tested on this tissue. A number of research scenarios will benefit from this type of quality control support; for example when a patient with a terminal neurological condition wants to donate their brain for research.

Project Status: Active

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BRAIN UK Ref: 19/017
Micro-Focused X-Ray Computed Tomography
Prof. Delphine Boche, University of Southampton 

We wish to explore and validate the information that the use of non-invasive brain imaging can provide on the morphology and structure in association with the neuropathology. The development of a μCT scanner capable of producing non-invasive 3D scans of soft tissue at microscopic resolutions will reveal features hundreds of times more detailed than conventional CT scans, comparable to 2D light microscopy images from conventional tissue section.

The high-resolution way of imaging soft tissue, such as the brain, represents the future as it will open a wealth of new information to biologists, biomedical scientists, medical researchers and clinicians enabling them to see and quantitatively analyse the microstructures of soft tissue in their 3D context which could inform future treatments. 

Project Status: Active

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