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Review
. 2019 May;234(5):5413-5419.
doi: 10.1002/jcp.27451. Epub 2018 Oct 26.

Real-time detection of breast cancer at the cellular level

Gary E Carver  1 , Sarah A Locknar  1 , Donald L Weaver  2 , Janet L Stein  3 , Gary S Stein  2
Affiliations
Review

Real-time detection of breast cancer at the cellular level

Gary E Carver et al. J Cell Physiol. 2019 May.

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.

Keywords: autofluorescence; breast cancer; multispectral imaging; surgical margin.

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Figures

Figure 1 –
Figure 1 –
Optical Schematic (L) and System in Pathology (R)
Figure 2 –
Figure 2 –
Spectral Angle Mapping Mathematics
Figure 3 –
Figure 3 –
SAM Images (500 μm field) for Cancer (A) and Benign Tissue (B)
Figure 4 –
Figure 4 –
Spectra Associated with Images in Figure 3
See this image and copyright information in PMC

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