Irina Kabakova, Assoc. Professor in Optical Physics and Associate Head of School with School of Mathematical and Physical Sciences, UTS

Leuchs-Russell-Auditorium, A.1.500, Staudtstr. 2

Location details

Abstract:

Brillouin microscopy (BM) is a growing field of research with many thrilling opportunities for fundamental science and biomedical applications. The key advantage of BM is its label-free nature and ability to retrieve information on viscoelastic properties of tissues and cells in 3D with microscopic resolution. In this talk, I will discuss several directions in Brillouin microscopy related to the application of machine learning techniques to processing of large volumes of Brillouin imaging data. I will share methods we tried and tested that can help to understand spectral information collected from complex, multi-component biological systems such as tissues and cells. I will report on our recent advances in photonic integration of Brillouin imaging systems using 3D-printed micro-optics and comment on application of Brillouin microscopy to measurements of phase transitions in biological systems, such as liquid-liquid phase separation in proteins.