/Organoid monitoring and cell identification through 3D lens-free imaging

Organoid monitoring and cell identification through 3D lens-free imaging

PhD - Leuven | More than two weeks ago

Explore novel 3D cell imaging methods for organoid monitoring

Organoids are three-dimensional cell cultures engineered from induced human pluripotent stem cells (iPSCs) to generate at least partial structures which mimic cellular and anatomical features of the human organ

This technology is gaining increasing momentum in biomedical research and drug development, such as brain organoids as new models for brain disease and intestine organoids for new drug development. Organoids also bear high potential as novel models in advancing personalized medicine. Monitoring growth of organoids in drug development assays today is done through high content imaging using fluorescence labeling. Drawbacks of this method is the cell toxic label that limits imaging in time, resulting in end point measurements only, and the need for high cost specialized cell imaging tools. Long-term, non-invasive follow up of organoid growth and behavior is desired but difficult to manage in higher throughput format. Lens-free imaging has the advantage that it can scan large areas using a very compact setup, and recently, we have shown it can be used to monitor 3D cell ensembles by structured illumination. The candidate will further develop this assay by implementing novel imaging methods and reconstruction algorithms, and combine it with microfluidics-based cell identification. 

The candidate will be part of imec’s life sciences department and interact with specialists in imaging and image reconstruction, and through collaborations with biomedical researchers and clinicians.


Required background: Electronic engineering, physics


Type of work: 40% modeling/simulation, 50% experimental, 10% literature

Supervisor: Liesbet Lagae

Co-supervisor: Dries Braeken

Daily advisor: Zhenxiang Luo

The reference code for this position is 2022-090. Mention this reference code on your application form.