Dr. Stephen C. Kanick
at Profusa Inc
SPIE Involvement:
Senior status | Journal Editorial Board Member | Author | Instructor
Area of Expertise:
Biomedical Optics , Reflectance and Fluorescence Spectroscopy , Monte Carlo Modeling , Clinical Translation , Data Science , Medical Devices
Profile Summary

Stephen Chad Kanick is the Data Science Lead for Profusa Inc., a startup that develops biocompatible subcutaneous biosensors that continuously monitor tissue analytes. Previously, he was an Assistant Professor of Engineering in the Thayer School of Engineering at Dartmouth College, where he still currently holds an adjunct appointment. He completed a post-doctoral appointment in the Center for Optical Diagnostics and Therapy at the Erasmus Medical Center in Rotterdam, the Netherlands. He holds a B.S. degree in Chemical Engineering from West Virginia University, and both M.S. and Ph.D. degrees in Chemical Engineering from the University of Pittsburgh. Chad’s research focuses on the development of new quantitative spectroscopy approaches that are used for diagnosing pathologies, guiding surgeries, and monitoring administered therapies. Chad has authored 50 peer-reviewed publications and has received a Career Development Award (K25) from the National Cancer Institute.
Publications (29)

SPIE Journal Paper | September 27, 2018
JBO Vol. 24 Issue 07
KEYWORDS: Light scattering, Optical properties, Tissue optics, Breast, Optical testing, Tissues, Scattering, Scatter measurement, Cancer, Image segmentation

PROCEEDINGS ARTICLE | April 19, 2017
Proc. SPIE. 10049, Molecular-Guided Surgery: Molecules, Devices, and Applications III
KEYWORDS: Scattering, Light scattering, Tissue optics, Tissues, Modulation, Reflectivity, Breast, Tumor growth modeling, Statistical analysis, Optical properties

PROCEEDINGS ARTICLE | March 15, 2017
Proc. SPIE. 10056, Design and Quality for Biomedical Technologies X
KEYWORDS: Scattering, Monte Carlo methods, Reflectivity, Optical spheres, Microscopy, Tissues, Microscopes, Distributed interactive simulations, Objectives, Transmittance

PROCEEDINGS ARTICLE | February 17, 2017
Proc. SPIE. 10059, Optical Tomography and Spectroscopy of Tissue XII
KEYWORDS: Modulation, RGB color model, Spatial frequencies, Tissues, Scattering, Diagnostics, Skin, Optical tomography, Optical spectroscopy, Spectroscopy, Imaging systems, Cameras, Video, Projection systems, MATLAB, Demodulation, Blood, Optical filters

PROCEEDINGS ARTICLE | February 15, 2017
Proc. SPIE. 10057, Multimodal Biomedical Imaging XII
KEYWORDS: Imaging systems, X-ray computed tomography, Breast, Light scattering, Computing systems, Visualization, Computed tomography, Surgery, Breast cancer, Multimodal imaging, Tissue optics, Tumors, Tissues, X-rays

PROCEEDINGS ARTICLE | April 26, 2016
Proc. SPIE. 9700, Design and Quality for Biomedical Technologies IX
KEYWORDS: Structured light, Biomedical optics, Current controlled current source

Showing 5 of 29 publications
Course Instructor
SC1152: Monte Carlo Modeling Explained
Monte Carlo modeling is widely used in biomedical optics to describe light transport in complicated situations where closed-form solutions to analytical models do not exist. While this standard definition describes Monte Carlo modeling as powerful and flexible, which it is, it also sounds overly-complicated, which it is not! This course will provide an introduction into both the theoretical concepts and real-world applications of Monte Carlo modeling of light transport in tissue. The course will provide an interactive description of how the stochastic sampling methods can be used to simulate individual photon-tissue interactions during photon propagation. Attendees will be also be given experience using basic Monte Carlo models and examples will highlight how to develop simulations that accurately mimic experimental measurements. This course would be instructive for anyone who is interested in using Monte Carlo models to guide design choices for new optical measurement approaches.
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