Tuesday 07 Apr 2020: [Journal Club] Title: Cancer research using Monte Carlo modelling
Laura Moran - University of Exeter
Breast cancer is one of the most common cancers worldwide and early diagnosis saves lives. Raman spectroscopy has been shown to be useful for label-free identification of molecules in tissue. By determining the type of microcalcification present in breast tissue, there is potential for a minimally invasive method of detecting breast cancer.
The largest obstacle to this is the recovery of Raman signals at depth in breast tissue since tissue is a highly scattering medium. Tissue phantoms are often used to imitate the optical environment when carrying out experiments. A greater understanding of the light transport processes can be gained by using the Monte Carlo method to randomly sample the volume. We use this coding technique to improve the detection of these microcalcifications via probe design and Raman light propagation investigations.
Due to the closure of the Physics department, this talk will be conducted via Zoom. If you wish to participate please contact: Tom Wilson firstname.lastname@example.org