Breast cancer
Clinical applications of multiphoton microscopy
Nonlinear optical microscopy (NLOM) provides many opportunities for minimally invasive investigating tissues without exogenous staining. We try to integrate the process from image interpretion, through image analysis and biophysical model to maximize the information which can be presented to the clinician.
The information acquired may provide insight into diagnosis, improved therapeutics and better understanding of disease progression. Basically any tissue may be examined but we are focusing on three main areas: ostheoarthritis in cartilage, atherosclerosis in heart vessels as well as breast cancer. Nonlinear optical microscopy
Research topics
Breast cancer
Breast cancer is a disease with a quite high incidence rate. Succesfull screening programs have fortunately led to a quite high chance of successful treatment following diagnosis. However, there is still room for enhancing diagnosis and disease stratifcation to schedule the patient for appropriate treatment.
Recently there has been increased emphasis on the extracellular matrix (ECM) component of tumors. There has been an increased understanding that the structure of the ECM can be used as an important parameter in determining the degree of malignancy.
We are using second harmonic generation (SHG) to investigate the structural alterations in tumors. Based on various image analysis algorithms we try to predict clinical outcome based on tissue structure. This work is a collaboration with Anna Bofin at the Breast cancer subtypes group.
Contact: Magnus Borstad Lilledahl