Neuroscience Tech – iPSC cells to model neurological diseases

Our aim for these workshops is to enable the UCL Neuroscience community to learn and explore more about the cutting-edge technologies and methodologies being used by researchers from across UCL.

The workshops will provide an introduction to the topic and its applications, and an opportunity for discussion. We encourage you to attend, this promises to be an excellent programme featuring the latest methodologies in neuroscience.

Upcoming workshops:

Wednesday 19th October 2022 – Professor Selina Wray (UCL Queen Square Institute of Neurology)

Title: “iPSC cells to model neurological diseases”

Wednesday 2nd November 2022 – Adam Tyson (Sainsbury Wellcome Centre, UCL)

Title: “Whole brain microscopy image analysis with BrainGlobe”

This workshop will introduce the BrainGlobe Initiative (BGI, https://brainglobe.info) – an international, distributed team of users and developers working towards the goal of creating open-source, interoperable and easy to use tools for the analysis of all types of neuroanatomical data. A number of tools will be demonstrated including:

• Napari for visualisation and annotation of raw data
• Brainreg to automatically segment 3D whole-brain images based on existing reference atlases, and transform data to common coordinate spaces
• Brainreg-segment for the segmentation and analysis of bulk structures (e.g. lesions,implanted devices)
• Cellfinder for mapping labeled cellular distributions across the brain
• Brainrender for interactive visualisation of multidimensional datasets registered to BrainGlobe atlases

Contact

If you have any questions about this event please contact Sabrina Boxhill (s.boxhill@ucl.ac.uk).

Previous workshops:

Wednesday 5th October 2022 – Enny Van Beest, Julie Fabre, Karolina Socha, Celian Bimbard (UCL Institute of Ophthalmology)

Title: “Recording the activity of large populations of neurons with neuropixels”

Professor Wray works within the Molecular mechanisms of Alzheimer’s disease and frontotemporal dementia with a focus on the use of patient-derived induced pluripotent stem cell models