DIFFERENTIAL DIAGNOSIS OF LUNG CARCINOMA WITH LABEL-FREE IMAGING
This report describes a new class of endomicroscopy that combines chemical selective molecular vibrational imaging techniques, such as coherent anti-Stokes Raman scattering (CARS) imaging, with fiber optic delivery and quantitative analytics for obtaining histology-like images from inside the human body in real-time with no label. Endomicroscopes generally can achieve a resolution on the order of a µm and have a field-of-view of several hundred µm. Current endomicroscope products, however, often require fluorophores, which are excitable using laser lights, and limit their applications in clinics. The objective of the proposed label-free endomicroscope is to sidestep the use of flourophores by visualizing morphological patterns and detecting intrinsic biomarkers of cells and tissues via high-speed, chemical selective CARS imaging. The label-free endomicroscope is developed to post-process and characterize CARS images and provide diagnostic information using disease-related features and classification. The prototype device has shown high accuracy and specificity for differential lung cancer diagnosis and thus demonstrated its potential for clinical translations.
Stephen Wong
Houston, Us
