Asst Prof Rohith Reddy, will discuss how the combination of biochemically relevant molecular information along with morphology makes Mid-Infrared Spectroscopic Imaging (MIRSI) especially useful in medical applications such as cancer research. Early diagnosis of cancers, like ovarian cancer, is essential for improving survival. To automate the process of disease diagnosis, we perform MIRSI imaging followed by machine learning.
However, this requires data of high signal-to-noise ratio and resolution. In this presentation, we use O-PTIR with an order of magnitude higher resolution relative to FT-IR imaging and present histopathology results for ovarian tissue. Additionally, bone disorders such as osteosclerosis and collagen deposition have spectroscopic signatures that can also e identified using MIRSI. We present high-resolution O-PTIR imaging data and results from studies of challenging clinical bone samples.
In conjunction with Dr Mustafa Kansiz, Director of Product Management and Marketing at PSC, who will present an overview of the technique, including simultaneous sub-micron IR+Raman microscopy with further life science research examples (live cell imaging, single cell bacteria etc) we are proud to present this cutting-edge webinar.
The webinar will be recorded for later on-demand viewing with opportunities to ask questions during and after the webinar.
