Andrew R Rouse

Interests

No activities entered.

Courses

Scholarly Contributions

Books

• Kupinski, M., Rouse, A., & Gmitro, A. (2016). Applying J-optimal Channelized Quadratic Observers (J-CQO) to a Clinical Imaging Study for Ovarian Cancer Detection.

Journals/Publications

• Rouse, A. R., Barton, J. K., Utzinger, U., Woodhead, G. J., Hennemeyer, C. T., Gmitro, A. F., Larson, M., & Carlson, Q. (2021). Using FDA-approved drugs as off-label fluorescent dyes for optical biopsies: from in silico design to ex vivo proof-of-concept. Methods and Applications in Fluorescence.
• Momsen, N. C., Rouse, A. R., & Gmitro, A. F. (2020). Improvement in optical fiber bundle-based imaging using synchronized fiber motion. Applied optics, 59(22), G249-G254.
  More info

  Image quality in fiber bundle-based imaging systems is inherently limited by the size and spacing of the individual fiber cores. The fiber bundle limits the achievable spatial resolution and superimposes a fixed pattern of signal variability across the image. To overcome these limitations, piezoelectric tubes were used to synchronously dither the fiber bundle on both ends. Experimental results using the dithering approach with a commercial fiber bundle showed a substantial decrease in fixed pattern noise and an increase in spatial resolution.
• Risi, M. D., Rouse, A. R., Chambers, S. K., Hatch, K. D., Zheng, W., & Gmitro, A. F. (2016). Pilot Clinical Evaluation of a Confocal Microlaparoscope for Ovarian Cancer Detection. International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 26(2), 248-54.
  More info

  The aim of this study is to evaluate the performance of a confocal fluorescence microlaparoscope for in vivo detection of ovarian cancer.
• Woolfenden, J. M., Pak, K. Y., Witte, M. H., Gmitro, A. F., Liang, R., Banerjee, B., Patel, C., Rouse, A. R., Furenlid, L. R., Bernas, M., Cai, M., Barber, C., Gray, B. D., & Liu, Z. (2016). Characterization of TCP-1 molecular imaging probes in mouse models with xenografted human colon cancer.. J Control Release, 239, 223-230.
• Phung, M., Rouse, A., Pangilinan, J., Bell, R., Bracamonte, E., Mashi, S., Gmitro, A., & Lee, B. (2020). Investigation of confocal microscopy for differentiation of renal cell carcinoma versus benign tissue. Can an optical biopsy be performed?. Asian Journal of Urology, 7(4).
• Risi, M. D., Makhlouf, H., Rouse, A. R., & Gmitro, A. F. (2015). Analysis of multimode fiber bundles for endoscopic spectral-domain optical coherence tomography. Applied optics, 54(1), 101-13.
  More info

  A theoretical analysis of the use of a fiber bundle in spectral-domain optical coherence tomography (OCT) systems is presented. The fiber bundle enables a flexible endoscopic design and provides fast, parallelized acquisition of the OCT data. However, the multimode characteristic of the fibers in the fiber bundle affects the depth sensitivity of the imaging system. A description of light interference in a multimode fiber is presented along with numerical simulations and experimental studies to illustrate the theoretical analysis.

Presentations

• Lee, B. R., Gmitro, A. F., Price, E., Bracamonte, E. R., Bell, R., Rouse, A. R., & Phung, M. (2018, September). Optical Biopsy using Confocal Microscopy for Differentiation of Renal Cell Carcinoma versus Benign Tissue. American Urological Association National Meeting. Paris, France: World Congress of Endourology.
• Phung, M., Phung, M., Rouse, A. R., Rouse, A. R., Bell, R., Bell, R., Bracamonte, E. R., Bracamonte, E. R., Price, E., Price, E., Gmitro, A. F., Gmitro, A. F., Lee, B. R., & Lee, B. R. (2018, May). Optical Biopsy using Confocal Microscopy for Differentiation of Renal Cell Carcinoma versus Benign Tissue. American Urological Association National Meeting. San Francisco: American Urological Association.
• Gmitro, A. F., Zheng, W., Hatch, K. D., Chambers, S. K., Risi, M. D., & Rouse, A. R. (2015, February). Clinical experience with a confocal microlaparoscope for ovarian cancer detection. SPIE BIOS: Endoscopic Microscopy X. San Francisco, CA.