Challenges of personalised cancer treatment with quantitative phase imaging that could be addressed by AI production rules

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302

Datum / čas
Date(s) - 03.02.
13:00 - 14:30

Místo konání
CIIRC ČVUT

Kategorie ne Kategorie


Lecture:

Ing. Daniel Zicha, Ph.D.,  CEITEC Brno

Challenges of personalised cancer treatment with quantitative phase imaging that could be addressed by AI production rules

When: 3. 2. 2020 from 1 p.m.
Where: CIIRC CTU, room 303 A (3rd floor, entrance A)

Cancer treatment can be improved by personalised pre-testing of drugs aimed not only at growth inhibition but also abrogation of cell motility. Such pre-testing can be efficiently achieved by Holographic Incoherent Quantitative Phase Imaging (hiQPI) of individual tissue culture cells or cell clusters freshly derived from biopsy. hiQPI is a label free light microscopy technique revealing, accurately and rapidly, growth and motility of individual cells in vitro and poses a specific challenge of background reconstruction which needs to be uniquely accurate. As a prove of concept, we used a well-established imaging system based on a double beam transmitted-light interference Leitz microscope (Horn design). The technique has been applied to cells of murine and human origin subjected to a range of treatments. Significant differences in growth and motility are readily detectable. Cell growth is assessed as mass doubling time. The fraction of rapidly moving cells is a useful and sensitive measure for motility. We have also established a clear correlation between metastatic potential in vivo and motility in vitro using a sarcoma model in inbred rats. The primary cultures of cells from patient biopsy change in time and therefore it is essential to measure responses of cells to different chemotherapeutic agents at the same time. This is the main reason, why we switched to the Q-Phase microscope (Telight) where we established multi-field time-lapse with 8 cultures and 2 fields in each culture using cells freshly derived from head and neck squamous cell carcinomas. We call the established procedure DANTE (Dynamic Analysis for Neoplasia Treatment with Explants) and another challenge arises for the clinical interpretation of the measured dynamic morphometric parameters.

About the lecturer:

Daniel Zicha received his MSc from the Czech University of Technology, Prague with thesis on “Expert system for genetic diagnosis”. He then pursued a PhD project on “Artificial intelligence methods in tumour cell biology” at the Institute of Molecular Genetics, Czech Academy of Sciences. His subsequent postdoctoral research post, focussing on chemotaxis [Zicha, D. et al. (1991) A new direct viewing chemotaxis chamber. J Cell Sci 99 769-75] and development of interference microscopy [Dunn, G. A., and Zicha, D. (1997) Using the DRIMAPS system of interference microscopy to study cell behavior. In Handbook of Cell Biology (2nd edition), J. E. Celis (ed.), Academic Press Inc.], was held at Medical Research Council, Muscle and Cell Motility Unit, King’s College, London, UK. Daniel Zicha has been head of Light Microscopy at Imperial Cancer Research Fund/ Cancer Research UK London Research Institute/ the Francis Crick Institute, Lincoln’s Inn Fields Laboratory for over 17 years and since 2016, senior researcher at Brno University of Technology, CEITEC – Central European Institute of Technology, Czech Republic. He has been involved in development of novel quantitative light microscopy techniques such as “Fluorescence Localisation After Photobleaching” [Zicha, D. et al. (2003) Rapid actin transport during cell protrusion. Science 300 142 5] and has experience with metastasis research [Cavanna, T., Pokorná, E., Veselý, P., Gray, C., and Zicha, D. (2007) Evidence for protein 4.1B acting as a metastasis suppressor. J Cell Sci 120 606-16]. Daniel Zicha has been a member of the editorial board of the Journal of Microscopy since 2007.