New PhD Opportunity in dSTORM and PALM super-resolution microscopy

Applying Machine Learning to 3D single molecule localisation analysis in super-resolution microscopy

Supervisors: Prof Michelle Peckham (Leeds), Dr Joanna Leng (Leeds).
Closing Date is 14 May 2018!

More information on the Find a PhD website

Project Description

Super-resolution imaging is an advanced form of microscopy that allows a 10 fold improvement in the resolution that can be obtained compared to confocal light microscopy. To obtain this improvement in resolution, fluorescently labelled molecules are driven to ‘blink’ stochastically, such that only a small number of molecules are fluorescent at any one time, and their positions accurately determined. As a model system, we will image the organisation of proteins in Z-discs of cardiomyocytes (100nm wide) in normal and diseased cells.
MRC remit: This technique provides very detailed images on protein organisation within cells and is applicable to almost all of the areas of biology that MRC supports. It also fits with enabling new ways of working, in that this area of research is underpinning and driving new technological approaches.

Funding Notes

This studentship is part of the MRC Discovery Medicine North (DiMeN) partnership and is funded for 3.5 years. Including the following financial support:

• Tax-free maintenance grant at the national UK Research Council rate
• Full payment of tuition fees at the standard UK/EU rate
• Research training support grant (RTSG)
• Travel allowance for attendance at UK and international meetings
• Opportunity to apply for Flexible Funds for further training and development

Please carefully read eligibility requirements and how to apply on our website, then use the link on this page to submit an application: http://www.dimen.org.uk/how-to-apply/application-overview

References

Elife, 6 (2017); Nature Cell Biology, 18, 122-31 (2016); Methods, 88, 37-47 (2015)