Aktualności - Szkoła Doktorska Nauk Ścisłych i Przyrodniczych - Uniwersytet Jagielloński

Cancer microenvironment studies using chemical imaging and machine learning / Nanoscale chemical imaging of selected biomedical samples (Supervisor: dr hab. Tomasz P. Wrobel)

Cancer microenvironment studies using chemical imaging and machine learning:
This project focuses on the development of proper approaches with IR imaging as a tool for understanding the microenvironment of cancer. The aim is to create label-free, non-destructive and highly accurate comprehensive histopathological models of pancreatic and breast cancers using machine learning. IR imaging at the tissue level offers a wealth of information and proper processing is crucial for creating robust classification models, which can be relevant for the clinician. The specific goals will include FT-IR data acquisition on the newly built SOLAIR beamline, creation of machine learning models and optimization in terms of accuracy vs. robustness.
Nanoscale chemical imaging of selected biomedical samples:
This project focuses on creating appropriate experimental approaches for biomedical sample preparation and measurements in the nanoscale. AFM based IR imaging is a new sub-field of IR imaging and presents new challenges for single cells or biomaterials characterization. This project will be primarily focused on developing a protocol for sample handling and measurements. Once this is established a series of cell lines representative of civilization diseases will be studied along with the effects of drugs. The specific goals will include AFM-IR data acquisition on the newly built SOLAIR beamline, cell cultures and data handling.

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