WARF: P07165US
Using Endogenous Fluorescence to Identify Cancerous Cells

INVENTORS

•

Paolo Provenzano, Patricia Keely, Kevin Eliceiri, John White

Optical imaging techniques play a pivotal role in detecting disease, injury and other disorders at an early stage and monitoring progression or remission after treatment. Images are generated by detecting a source of energy that can be a combination of electromagnetic radiation, nuclear radiation, acoustic waves, electrical fields or magnetic fields. Unfortunately, because tissue becomes opaque at frequencies in the visual or ultraviolet regions of the electromagnetic spectrum, the usefulness of some imaging methods is limited.

Advanced infrared imaging techniques, such as multiphoton microscopy and second harmonic generation, can penetrate deeper within biological tissue. By more clearly visualizing different types of tissue, non-linear infrared optical imaging has emerged as a vital tool for visualizing processes at the cellular and subcellular levels. It potentially can be used to diagnose and evaluate disorders such as cancer and neurodegenerative diseases. But before non-linear infrared imaging can become useful as a clinical tool, histopathological features in the images must be characterized so they can be correlated to specific disease conditions. UW-Madison researchers have developed methods to identify, detect and characterize diseases, such as cancer, using non-linear infrared imaging. Changes in the fluorescent properties of tissue indicate changes in cellular metabolism that may signify the presence of disease. Specifically, the fluorescent properties of flavin adenine dinucleotide (FAD), a redox cofactor involved in several important metabolic reactions, can indicate the presence of cancer, particularly epithelial tumors such as breast tumor cells.

To detect cancer, tissue is exposed to near infrared radiation, which excites endogenous FAD fluorophors. The FAD fluorophors then emit measurable fluorescent signals that vary with different tissue properties. A partially or fully automated system analyzes the signals and compares them to previously acquired reference data. The findings can be used to identify, locate and characterize the presence and stage of carcinomas.
 

• Cancer detection and diagnosis

• Provides nondestructive and noninvasive imaging of biological structures
• Evaluates tissue for invasiveness
• Useful for in vivo, in vitro and ex vivo tissue samples
• Complements information provided by other diagnostic methods
• Useful for imaging cancer in the breast, cervix, lung, prostate, esophagus, colon, skin and eye
• Can identify cancer in epithelial, stromal, mesenchymal, neuronal, immune and vascular tissue
• May be used for endoscopy, optical biopsy, diagnosis of cancer, evaluation of angiogenesis and metastasis and to monitor the progression of neurodegenerative diseases
   

For current licensing status, please contact our team at licensing@warf.org or phone 608.262.4924. (Clicking this link will open a contact form in a popup window. If you have problems viewing the form, try disabling your popup blocker software.)