Work

Real‐time detection of breast cancer at the cellular level

Year: 2018

Type: review

Abstract: Novel optoelectronic instrumentation has been developed for the multispectral imaging of autofluorescence emitted by metabolic fluorophores. The images resolve individual cells while spectra are collected for each pixel in the images. These datacubes are generated at a rate of 10 per second-fast enough for surgical guidance. The data is processed in real time to provide a single color-coded image to the surgeon. To date, the system has been applied to fresh, ex vivo, human surgical specimens and has distinguished breast cancer from benign tissue. The approach is applicable to in vivo measurements of surgical margins and needle-based optical biopsies. Ongoing work demonstrates that the system has great potential for translation to a hand-held probe with high sensitivity and specificity.

Source: Journal of Cellular Physiology

DOI: 10.1002/jcp.27451

Authors: Gary E. Carver, Sarah A. Locknar, Donald L. Weaver, Janet L. Stein, Gary S. Stein

Institutions: Omega Optics (United States), University of Vermont, University of Vermont Medical Center

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Foundation for the National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences