PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
We have developed Second Harmonic Generation (SHG) microscope tools to selectively and specifically probe changes in collagen organization in diseased tissues. Using a novel form of 3D machine learning, we successfully classified six types of ovarian tumors based on the observed collagen fiber morphology. We also exploit the SHG coherence to extract sub-resolution fibril assembly (size and packing) by analyzing the emission directionality in conjunction with measured optical scattering properties and Monte Carlo simulations. This approach further classified a spectrum of ovarian tumors. We developed polarization sensitive SHG methods to extract collagen macro/supramolecular structural aspects and found significant differences between normal and malignant ovarian tissues. We also used this set of SHG analyses to probe structural changes in idiopathic pulmonary fibrosis (IPF) compared to normal lung tissues, and found comparable collagen changes over normal tissues.
Paul J. Campagnola,Darian James, andEmily Shelton
"Multiscale SHG microscopy analysis of collagen alterations in human diseases", Proc. SPIE 11825, Ultrafast Nonlinear Imaging and Spectroscopy IX, 118250C (1 August 2021); https://doi.org/10.1117/12.2595639
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Paul J. Campagnola, Darian James, Emily Shelton, "Multiscale SHG microscopy analysis of collagen alterations in human diseases," Proc. SPIE 11825, Ultrafast Nonlinear Imaging and Spectroscopy IX, 118250C (1 August 2021); https://doi.org/10.1117/12.2595639