Stream & learn on demand
Expert insights for microscopists
Dear Scientist,
In collaboration with renowned
scientists from around the world, we have put together a series of exciting
webinars featuring a broad range of microscopy techniques. If you missed the
live broadcast or would simply like to replay the recordings, click to access
these informative talks below.
Watch Prof Dr Eric Reits, as he
shares his research into neurodegenerative disorders. Reits’ group are
experts on the subject of Huntington’s disease and work towards identifying
leads for potential therapies.
Join Prof Dr Peter
Horvarth, as he presents his work on single cell-based
large-scale microscopy experiments. This novel targeting approach includes
the use of machine learning models and ultimately enables successful DNA and
RNA sequencing, proteomics, lipidomics and targeted electrophysiology
measurement on selected cells.
|
Visualising
protein degradation and aggregation in the living cell
In this webinar you will find out how:
- Both proteasomes and ubiquitin are reversibly recruited
to aggregates and proteasomes are able to degrade these proteins
- Different microscopy approaches, including live cell
imaging and confocal FRAP and FLIM, are used in this valuable research
into neurodegenerative disorders
- The use of different fluorescent labels, activity-based
probes and quenched substrates uncovered key information
|
|
Life
beyond the pixels: Deep learning methods for single cell analysis
As part of his work on single cell-based large-scale microscopy, involving
confocal, light sheet and laser microdissection, Peter talks about:
- A novel microscopic image correction
method designed to eliminate illumination and uneven background
effects
- New single-cell image segmentation
methods using differential geometry, energy minimization and deep
learning methods
- The Advanced Cell Classifier (ACC), a
machine learning software tool capable of identifying cellular
phenotypes based on features extracted from the image
|
We love feedback! Share
your comments here.
|