Clinical applications of multiphoton microscopy - Department of Physics
Clinical applications of multiphoton microscopy
Clinical applications of multiphoton microscopy
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Nonlinear optical microscopy_txt
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
Research topics
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Ostheoarthritis in cartilage
Cartilage is the tissue which covers articular surfaces in the joints providing a smooth, low friction surface and cushioning for the subchondral bone. It has remarkable mechanical properties in its healthy state, but can, if damaged, lead to painful and disabling diseases like osteoarthritis.
Atherosclerosis in heart vessels
Atherosclerosis is a disease which attacks the blood vessels. The disease is characterized by the formation of a plaque in the vessel wall, which is a pathological modification of the vessel wall structure. These plaques can have different sizes, shapes and morphological structures.
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.
Heart valves
The valves of the heart prevent blood from flowing in the wrong direction between the ventricle and the atria. Sometimes these valves do not function exactly like they should. These problems can be visualized by ultrasound. However, to assess what is wrong, mechanical models of the valves are needed to understand the ultrasound images.