The Science Behind SurgiVance™

LSSSCM

Hardware

SurgiVance™’s hardware is a line-scanning, solid-state, confocal microscope that offers speed and mechanical simplicity over traditional point-scanning confocal microscopes. It achieves cellular resolution without the complex moving parts that make confocal microscopes delicate and hard to manufacture.

Software

In addition, patented digital coloring software produces images that mimic the appearance of hematoxylin and eosin (H&E) staining, which is the standard process for histopathology tissue staining.

Our IP portfolio

Our software algorithm is patented and under exclusive license from Memorial Sloan Kettering Cancer Center and Oregon Health & Science University. Our hardware patent is wholly-owned by SurgiVance™. Both have been secured in major markets throughout the world.

Publications

Ren, J., Lax, R., Krueger, J. G., Browning, J., Carucci, J., White, K., … & Gareau, D. S. (2020). Detecting nodular basal cell carcinoma in pathology imaging using deep learning image segmentation. In Photonics in Dermatology and Plastic Surgery 2020 (Vol. 11211, p. 112110D). International Society for Optics and Photonics.

Gareau, D. S., Krueger, J. G., Hawkes, J. E., Lish, S. R., Dietz, M. P., Mülberger, A. G., … & Carucci, J. A. (2017). Line scanning, stage scanning confocal microscope (LSSSCM). Biomedical Optics Express, 8(8), 3807-3815.

Mu, E. W., Lewin, J. M., Stevenson, M. L., Meehan, S. A., Carucci, J. A., & Gareau, D. S. (2016). Use of digitally stained multimodal confocal mosaic images to screen for nonmelanoma skin cancer. JAMA Dermatology, 152(12), 1335-1341.

Gareau, D. S., Bar, A., Snaveley, N. R., Lee, K., Chen, N. W., Swanson, N., … & Jacques, S. L. (2012). Tri-modal confocal mosaics detect residual invasive squamous cell carcinoma in Mohs surgical excisions. Journal of Biomedical Optics, 17(6), 066018.

Gareau, D. S., Karen, J. K., Dusza, S. W., Tudisco, M., Nehal, K. S., & Rajadhyaksha, M. (2009). Sensitivity and specificity for detecting basal cell carcinomas in Mohs excisions with confocal fluorescence mosaicing microscopy. Journal of Biomedical Optics, 14(3), 034012.

Gareau, D. S. (2009). Feasibility of digitally stained multimodal confocal mosaics to simulate histopathology. Journal of Biomedical Optics, 14(3), 034050.

Gareau, D. S., Patel, Y. G., Li, Y., Aranda, I., Halpern, A. C., Nehal, K. S., & Rajadhyaksha, M. (2009). Confocal mosaicing microscopy in skin excisions: a demonstration of rapid surgical pathology. Journal of Microscopy, 233(1), 149-159.

Talks