Publications

Yao, Xing, Vinayak Pathak, Haoran Xi, Amey Chaware, Colin Cooke, Kanghyun Kim, Shiqi Xu, et al. “Increasing a microscope's effective field of view via overlapped imaging and machine learning.” Optics Express 30, no. 2 (January 2022): 1745–61. https://doi.org/10.1364/oe.445001.

Feiger, B., E. Lorenzana-Saldivar, C. Cooke, R. Horstmeyer, M. Bishawi, J. Doberne, G. C. Hughes, D. Ranney, S. Voigt, and A. Randles. “Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation.” ACM Transactions on Computing for Healthcare 3, no. 1 (January 1, 2022). https://doi.org/10.1145/3472302.

Zhou, K. C., M. Harfouche, C. Cooke, J. Park, P. Konda, J. Doman, P. Reamey, et al. “Gigapixel-per-second, wide-field 3D topographic imaging with physics-supervised learning.” In Optics Infobase Conference Papers, 2022.

Gigan, Sylvain, Ori Katz, Hilton B de Aguiar, Esben Ravn Andresen, Alexandre Aubry, Jacopo Bertolotti, Emmanuel Bossy, et al. “Roadmap on Wavefront Shaping and deep imaging in complex media,” November 29, 2021.

YANG, X., P. C. KONDA, S. XU, L. BIAN, and R. HORSTMEYER. “Quantized Fourier ptychography with binary images from SPAD cameras.” Photonics Research 9, no. 10 (October 1, 2021): 1958–69. https://doi.org/10.1364/PRJ.427699.

Dai, Xiang, Shiqi Xu, Xi Yang, Kevin C. Zhou, Carolyn Glass, Pavan Chandra Konda, and Roarke Horstmeyer. “Quantitative Jones matrix imaging using vectorial Fourier ptychography,” September 30, 2021.

Cooke, Colin L., Kanghyun Kim, Shiqi Xu, Amey Chaware, Xing Yao, Xi Yang, Jadee Neff, et al. “Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening.” Cold Spring Harbor Laboratory, July 22, 2021. https://doi.org/10.1101/2021.07.18.21259553.

Xu, Shiqi, Xi Yang, Wenhui Liu, Joakim Jonsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, et al. “Imaging dynamics beneath turbid media via parallelized single-photon detection,” July 3, 2021.

Vu, Tri, Anthony DiSpirito, Daiwei Li, Zixuan Wang, Xiaoyi Zhu, Maomao Chen, Laiming Jiang, et al. “Deep image prior for undersampling high-speed photoacoustic microscopy.” Photoacoustics 22 (June 2021): 100266. https://doi.org/10.1016/j.pacs.2021.100266.

Vu, T., A. DiSpirito, D. Li, Z. Wang, X. Zhu, M. Chen, L. Jiang, et al. “Deep image prior for undersampling high-speed photoacoustic microscopy.” Photoacoustics 22 (June 1, 2021). https://doi.org/10.1016/j.pacs.2021.100266.

Fontes, Cassio M., Barbara D. Lipes, Jason Liu, Krystle N. Agans, Aiwei Yan, Patricia Shi, Daniela F. Cruz, et al. “Ultrasensitive point-of-care immunoassay for secreted glycoprotein detects Ebola infection earlier than PCR.” Sci Transl Med 13, no. 588 (April 7, 2021). https://doi.org/10.1126/scitranslmed.abd9696.

DiSpirito, Anthony, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, and Junjie Yao. “Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.” IEEE Transactions on Medical Imaging 40, no. 2 (February 2021): 562–70. https://doi.org/10.1109/tmi.2020.3031541.

Liu, W., R. Qian, S. Xu, P. Chandra Konda, J. Jönsson, M. Harfouche, D. Borycki, et al. “Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection.” APL Photonics 6, no. 2 (February 1, 2021). https://doi.org/10.1063/5.0031225.

Cooke, C. L., F. Kong, A. Chaware, K. C. Zhou, K. Kim, R. Xu, D. M. Ando, S. J. Yang, P. C. Konda, and R. Horstmeyer. “Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy.” In Proceedings of the IEEE International Conference on Computer Vision, 3783–93, 2021. https://doi.org/10.1109/ICCV48922.2021.00378.

Cooke, Colin, Kanghyun Kim, Shiqi Xu, Xing Yao, Xi Yang, Carolyn Glass, Jadee Neff, et al. “Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening.” In MODERN PATHOLOGY, 34:814–16, 2021.

Yao, X., H. Xi, K. C. Zhou, A. Chaware, C. Cooke, Y. Li, T. Dunn, P. C. Konda, and R. Horstmeyer. “Increasing a microscope’s effective field of view via overlapped imaging and machine learning.” Optics Infobase Conference Papers, January 1, 2021.

Cooke, Colin, Kanghyun Kim, Shiqi Xu, Xing Yao, Xi Yang, Carolyn Glass, Jadee Neff, et al. “Deep Optical Blood Analysis: COVID-19 Detection as a Case Study in Next Generation Blood Screening.” In LABORATORY INVESTIGATION, 101:814–16, 2021.

Sharma, S., A. Bègue, J. Doman, M. Harfouche, G. Horstmeyer, and R. Horstmeyer. “High throughput acquisition and analysis of bacterial colony features using gigapixel microscopy.” In Optics Infobase Conference Papers, 2021.

III, Anthony DiSpirito, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, and Junjie Yao. “Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.” IEEE Trans. Medical Imaging 40 (2021): 562–70. https://doi.org/10.1109/TMI.2020.3031541.

Xu, S., X. Yang, P. C. Konda, and R. Horstmeyer. “Rapid imaging of deep-tissue motion with parallelized diffuse correlation spectroscopy.” In Optics Infobase Conference Papers, 2021.

Zhou, K. C., C. Cooke, J. Park, R. Qian, R. Horstmeyer, J. A. Izatt, and S. Farsiu. “Mesoscopic photogrammetry with an unstabilized phone camera.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 7531–41, 2021. https://doi.org/10.1109/CVPR46437.2021.00745.

Zhou, Kevin C., Colin Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, and Sina Farsiu. “Mesoscopic photogrammetry with an unstabilized phone camera.” CVPR 2021, December 10, 2020.

Kim, Kanghyun, Pavan Chandra Konda, Colin L. Cooke, Ron Appel, and Roarke Horstmeyer. “Multi-element microscope optimization by a learned sensing network with composite physical layers.” Optics Letters 45, no. 20 (October 2020): 5684–87. https://doi.org/10.1364/ol.401105.

Chaware, A., C. L. Cooke, K. Kim, and R. Horstmeyer. “Towards an intelligent microscope: Adaptively learned illumination for optimal sample classification.” ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings 2020-May (May 1, 2020): 9284–88. https://doi.org/10.1109/ICASSP40776.2020.9054477.

Cooke, Colin L., Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D Michael Ando, Samuel J. Yang, Pavan Chandra Konda, and Roarke Horstmeyer. “Physics-enhanced machine learning for virtual fluorescence microscopy,” April 8, 2020.