Raymond K Kostuk

Raymond K Kostuk

Professor, Electrical and Computer Engineering
Professor, Optical Sciences
(520) 621-6172

Work Summary

Raymond Kostuk's research is focused on Optical imaging and systems, photovoltaic devices and systems, holography, electro-optics, and fiber optic systems

Research Interest

Raymond Kostuk, PhD, has a primary goal to investigate photonic techniques that enhance the capabilities of imaging, communication, sensing, and light collection and concentrator systems. His research includes fundamental and applied studies of photonic materials and devices, as well as system concepts that are based on photonics.


Orsinger, G. V., Watson, J. M., Gordon, M., Nymeyer, A. C., de Leon, E. E., Brownlee, J. W., Hatch, K. D., Chambers, S. K., Barton, J. K., Kostuk, R. K., & Romanowski, M. (2014). Simultaneous multiplane imaging of human ovarian cancer by volume holographic imaging. Journal of biomedical optics, 19(3), 36020.
BIO5 Collaborators
Jennifer Kehlet Barton, Raymond K Kostuk

Ovarian cancer is the most deadly gynecologic cancer, a fact which is attributable to poor early detection and survival once the disease has reached advanced stages. Intraoperative laparoscopic volume holographic imaging has the potential to provide simultaneous visualization of surface and subsurface structures in ovarian tissues for improved assessment of developing ovarian cancer. In this ex vivo ovarian tissue study, we assembled a benchtop volume holographic imaging system (VHIS) to characterize the microarchitecture of 78 normal and 40 abnormal tissue specimens derived from ovarian, fallopian tube, uterine, and peritoneal tissues, collected from 26 patients aged 22 to 73 undergoing bilateral salpingo-oophorectomy, hysterectomy with bilateral salpingo-oophorectomy, or abdominal cytoreductive surgery. All tissues were successfully imaged with the VHIS in both reflectance- and fluorescence-modes revealing morphological features which can be used to distinguish between normal, benign abnormalities, and cancerous tissues. We present the development and successful application of VHIS for imaging human ovarian tissue. Comparison of VHIS images with corresponding histopathology allowed for qualitatively distinguishing microstructural features unique to the studied tissue type and disease state. These results motivate the development of a laparoscopic VHIS for evaluating the surface and subsurface morphological alterations in ovarian cancer pathogenesis.

Vorndran, S., Chrysler, B., Wheelwright, B., Angel, R., & Kostuk, R. K. (2016). Off-Axis holographic lens spectrum-splitting photovoltaic system for direct and diffuse solar energy conversion. Appl. Opt, 55, 7522-7529.
Vorndran, S., Russo, J. M., Wu, Y., & Kostuk, R. K. (2015). Broadband Gerchberg-Saxton algorithm for freeform diffractive spectral filter design. Optics Express, 23.
Wu, Y., Vorndran, S., & Kostuk, R. K. (2016). Two-junction holographic spectrum-splitting micro concentrating photovoltaic system. Photonics for Energy.
Russo, J. M., Vorndran, S., Wu, Y., & Kostuk, R. K. (2015). Cross-correlation analysis of dispersive spectrum splitting techniques for photovoltaic systems. J. Photon. Energy, 5. doi:10.1117/1.JPE.5.054599