Creating and evaluating a repository of synthetic flow cytometry files for educational use
Mastering data analysis and interpretation is crucial for Biomedical Scientists. In this interdisciplinary project, students will develop methods to create synthetic flow cytometry datasets. These innovative methods will be used to build a comprehensive data library complete with engaging case studies. These tools will be rigorously evaluated as transformative educational resources.
Research Opportunities
Summary
Flow cytometry is a powerful technique used in both diagnostic and research laboratories to evaluate characteristics of mixed cell populations. A high level of skill is required to properly analyse and interpret flow cytometry data, without high-quality training materials, the risk of misinterpretation is high.
A key limitation to the provision of high-quality training is the lack of high-quality flow cytometry data available in the public domain. This is especially true when trying to match available data with case studies relevant to Biomedical Scientists working in diagnostic labs. Generating bespoke data sets can be costly and time-consuming and will not be possible for smaller teaching universities.
This project that aims to create a repository of synthetic flow cytometry data files for educational use. In flow cytometry, cells suspended in a fluid are passed through a laser beam one at a time. Each cell interacts with the laser, and various detectors measure parameters like forward scatter (cell size), side scatter (cell complexity) and fluorescent signals emitted by a panel of fluorescent labels used to mark various features of the cell. For a single sample (e.g. a patient blood sample), 30,000 individual cells might be analysed, with 20 different parameters measured for each cell. Multiple different cell types will be represented in each sample / data file, and the goal of data analysis is to identify different cell types and describe their characteristics. This is achieved by hierarchical gating on populations of interest, or using dimensionality reduction (UMAP, t-SNE), clustering (K-Means) or classification via machine learning.;
The student will use computational methods to generate a repository of synthetic data files. The student will also develop engaging case studies and training materials, and these novel educational tools will be tested in real classroom settings, improving the standard of training for future Biomedical and research scientists.
Supervisor
Discuss this further with the potential supervisor for this research degree:
Research Theme
Find other Research Degrees in the same theme:
About our Research Degrees
We welcome specific ideas from applicants for a potential research degree topic. The University offers a number of potential self-funded topics in each School which you could consider developing your research project around.
It is not unusual for a proposed research degree topic to evolve as you progress through the application stage and even your future studies. This ensures the best match of your academic/professional experience with that of your supervisory team.
Occasionally, the University will also advertise available funded studentships, for very specific topics or subjects:
If you need any further support prior to applying, please email researchdegrees@rgu.ac.uk
Entry requirements
Entry Requirements for Research Degrees
Normal entry requirements are a first or upper second class honours degree from a University of the United Kingdom, or from an overseas University, or degree equivalent qualification, subject to the approval of Robert Gordon University.
Applicants holding other qualifications shall be considered on their merits and in relation to the nature and scope of the proposed research programme.
Applicants will normally register for an MSc/PhD or MRes/PhD with transfer to PhD dependent on satisfactory progress. However, applicants who already possess a Master’s degree which includes a significant research component could be registered directly for a PhD, subject to a satisfactory research proposal, and clear evidence of research expertise.
Some Research Degree Topics require employment experience, research experience and/or transcripts for international qualifications.
Contact researchdegrees@rgu.ac.uk to see if you are eligible.
English Language
Any applicant whose first language or language of previous University-level instruction is not English must normally demonstrate competence in English. This should be a score of IELTS 6.5 with 6.5 in all elements, or an approved equivalent.
We accept a variety of in-country and secure English language tests, find out more:
Please note, some courses may require a higher standard of English than stated in this page. Contact researchdegrees@rgu.ac.uk for further information.
Fees & Costs
For Academic Year 2024/2025
UK/EU Students
- Full time - £4,786 per academic year
- Part time MPhil/PhD - £2,870 per academic year
- Part time MRes/MSc by research - £2,390 per academic year
International Students
- Full time - £19,450 per academic year
- Part-time MPhil/PhD - £11,670 per academic year
- Part-time MRes/MSc by research - £9,720 per academic year
For Academic Year 2023/2024
UK/EU Students
- Full time - £4,712 per academic year
- Part time MPhil/PhD - £2,830 per academic year
- Part time MRes/MSc by research - £2,356 per academic year
International Students
- Full time - £18,700 per academic year
- Part-time MPhil/PhD - £11,220 per academic year
- Part-time MRes/MSc by research - £9,350 per academic year
Additional Costs
The following course-related costs are not included in the course fees:
- The cost of books that you may wish to purchase
- Accommodation and living costs
- Printing
Alumni Discount
Robert Gordon University is delighted to offer a 20% discount on course fees for all alumni who have graduated from RGU.
Scholarships and Financial Awards
Postgraduate research students will normally make their own arrangements for payment of fees. However you may qualify for a scholarship or financial award:
Funded Studentships
Occasionally, the University will also advertise available funded studentships, for very specific topics or subjects:
Disclaimer
For new intakes course fees are reviewed and published annually for each mode of delivery. Tuition fees are fixed for the duration of a course at the rate confirmed in the offer letter. For further information see:
How to Apply
Applications
All applications should be made via the University's online application for research students.
Before you apply, find out more about the application process, research proposal writing guides, routes and durations:
Our Research degrees usually start in February and October each year. There are no formal deadlines for you to submit your application, though we recommend you submit it as early as possible in order to ensure we can help you join us at your preferred time.
Completed application forms should be accompanied by:
- Degree certificate
- Statement of purpose, detailing why you would like to study this degree in the UK, and why you have chosen RGU.
- A short research proposal, in the range of 1,500 - 3,000 words, containing a rationale and background, study aims and objectives, a literature review, proposed research methods and a full reference list.
Further guidance on the application process:
English Language Requirements
All applicants whose first language is not from a recognised English speaking country will be asked to provide evidence of their English language skills as part of their offer to study at RGU.
Find out more about the English language qualification we accept:
Ready to start this Research Degree?
Find out about our entry requirements, application dates and how to apply.
Any questions?
Get in touch with our team and we'll do our best to help.