Přehled

Title: Advancing the applications of imaging methods in ophthalmology with adaptive optics imaging
Study program: Biomedical Technology and Bioinformatics
Supervisor: Doc. Ing. Radim Kolář, Ph.D.

Topic description:
Over the past decade, advancements in retinal imaging — particularly through adaptive optics (AO) — have transformed our ability to achieve cellular-level resolution. This breakthrough enables in-vivo analysis of previously uncharted retinal structures, driving the need for an innovative and robust image analysis pipeline.

This PhD project focuses on the detailed analysis of retinal vascularity and photoreceptors, incorporating techniques such as segmentation, pathology detection, multimodal image registration, and image quality assessment. It also offers opportunities to explore novel research areas, such as the effects of pregnancy on vascularity, potential pathological changes, and the impact of emerging drug treatments on retinal health.

The project will be conducted at the Department of Biomedical Engineering, with anticipated collaboration with international partners, including Leipzig University and the University of Halle.

Your task:

  • Development of an innovative image analysis pipeline for adaptive optics retinal images.
  • Multidimensional statistical analysis of various features measured under different conditions.
  • Multimodal image analysis of correlation across the retinal imaging datasets.
  • Scientific publishing.

Requirements:

  • Master’s degree in a relevant field, e.g. computer science, biomedical engineering.
  • Strong programming skills, preferably Python, MATLAB, or C++.
  • Familiarity with image processing techniques and machine learning algorithms.
  • Good communication skills in English.
  • A keen interest in ophthalmological research.

We offer:

  • Collaboration within an active and interdisciplinary team and with international experts.
  • Friendly and supportive research environment.
  • Additional financial support beyond the state scholarship through supplementary stipends or project-related funding.
  • Opportunities for professional development, including participation in international conferences, workshops, and specialized training.

Relevant publications:
https://doi.org/10.1364/BOE.471881
https://doi.org/10.1016/j.preghy.2023.12.004
https://doi.org/10.1364/BOE.486052

How to apply:

Please apply and submit your motivation letter and CV via university website from April 1 to April 30, https://www.vut.cz/eprihlaska/cs/zadani/vybrat-obor/fakulta/5

Funding:
Funding is provided as a combination of part-time or full-time research projects and/or regular scholarships.