Scientists from SOLARIS National Synchrotron Radiation Centre (Kraków, Poland), University of Exeter (UK), Beckman Institute (University of Illinois at Urbana-Champaign – USA), and Institute of Nuclear Physics Polish Academy of Sciences (Kraków, Poland) performed research that will facilitate the rapid and automated diagnosis of esophageal cancer.
Dr. Tomasz Wróbel`s group focuses on cancer detection through a combination of Infrared Imaging (IR) and the use of Machine Learning (ML) algorithms. Thanks to this approach, it is possible to develop an effective model, which will allow histopathologists to confirm the diseased area automatically and in a much shorter time.
Infrared Imaging (IR), which will soon also be available on the newly built beamline at SOLARIS, has found widespread use in biomedical research over the last couple of decades and is currently being introduced into clinical diagnostics.
Read more on the Solaris website
Image: The above graphic shows two esophageal biopsies: the top of the graphic contains a biopsy taken from a patient suffering from esophageal cancer, the bottom of the graphic contains a biopsy taken from a healthy patient. In the left part of the graphic, microscopic images of the mentioned biopsies are visible after the H&E staining (Hematoxylin and Eosin) (in this image of the stained biopsy, the histopathologist visually assigns tissue types), in the middle of the graphic, biopsy images obtained using infrared imaging are visible, the right part of the graphic presents a histological picture of a biopsy obtained after assigning tissues and structures to three classes (cancer, other, benign) by Machine Learning (ML).
Red – cancer
Blue – other
Green – benign