Publications

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.

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.

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.

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.

Zhou, Kevin C., and Roarke Horstmeyer. “Diffraction tomography with a deep image prior.” Optics Express 28, no. 9 (April 2020): 12872–96. https://doi.org/10.1364/oe.379200.

Konda, Pavan Chandra, Lars Loetgering, Kevin C. Zhou, Shiqi Xu, Andrew R. Harvey, and Roarke Horstmeyer. “Fourier ptychography: current applications and future promises.” Optics Express 28, no. 7 (March 2020): 9603–30. https://doi.org/10.1364/oe.386168.

Del Hougne, Philipp, Mohammadreza F. Imani, Aaron V. Diebold, Roarke Horstmeyer, and David R. Smith. “Learned Integrated Sensing Pipeline: Reconfigurable Metasurface Transceivers as Trainable Physical Layer in an Artificial Neural Network.” Advanced Science (Weinheim, Baden-Wurttemberg, Germany) 7, no. 3 (February 2020): 1901913. https://doi.org/10.1002/advs.201901913.

Loetgering, Lars, Margarita Baluktsian, Kahraman Keskinbora, Roarke Horstmeyer, Thomas Wilhein, Gisela Schütz, Kjeld S. E. Eikema, and Stefan Witte. “Generation and characterization of focused helical x-ray beams.” Science Advances 6, no. 7 (February 2020): eaax8836. https://doi.org/10.1126/sciadv.aax8836.

Dai, X., P. C. Konda, S. Xu, and R. W. Horstmeyer. “Towards a vectorial treatment of Fourier ptychographic microscopy.” In Optics Infobase Conference Papers, 2020.

Chaware, Amey, Colin L. V. Cooke, Kanghyun Kim, and Roarke Horstmeyer. “Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification.” In ICASSP, 9284–88. IEEE, 2020.

Liu, W., R. Qian, S. Xu, P. C. Konda, and R. Horstmeyer. “Fast sensitive diffuse correlation spectroscopy with a SPAD array.” In Optics Infobase Conference Papers, Vol. Part F179-OTS-2020, 2020. https://doi.org/10.1364/OTS.2020.SM3D.3.

Liu, W., S. Xu, R. Qian, P. C. Konda, and R. Horstmeyer. “Classifying decorrelation events hidden beneath scattering media via SPAD array detection.” In Optics InfoBase Conference Papers, 2020.

Muthumbi, Alex, Amey Chaware, Kanghyun Kim, Kevin C. Zhou, Pavan Chandra Konda, Richard Chen, Benjamin Judkewitz, Andreas Erdmann, Barbara Kappes, and Roarke Horstmeyer. “Learned sensing: jointly optimized microscope hardware for accurate image classification.” Biomedical Optics Express 10, no. 12 (December 2019): 6351–69. https://doi.org/10.1364/boe.10.006351.

Harfouche, M., T. W. Dunn, E. A. Naumann, and R. Horstmeyer. “Imaging the behavior and neural activity of freely moving organisms with a gigapixel microscope.” In Optics Infobase Conference Papers, Vol. Part F169-BRAIN 2019, 2019. https://doi.org/10.1364/BRAIN.2019.BT3A.3.

Zhong, L., P. C. Konda, M. Harfouche, and R. Horstmeyer. “Depth tracking using a multi-aperture microscope.” In Optics Infobase Conference Papers, Vol. Part F170-COSI 2019, 2019. https://doi.org/10.1364/COSI.2019.CM1A.CTh4A.2.

Horstmeyer, R., I. M. Vellekoop, and B. Judkewitz. “Transmission matrix correlations.” In Wavefront Shaping for Biomedical Imaging, 315–28, 2019. https://doi.org/10.1017/9781316403938.014.

Kadobianskyi, M., I. N. Papadopoulos, T. Chaigne, R. Horstmeyer, and B. Judkewitz. “Scattering correlations of time-gated light.” Optica 5, no. 4 (April 20, 2018): 389–94. https://doi.org/10.1364/OPTICA.5.000389.

Horstmeyer, Roarke, Richard Y. Chen, Barbara Kappes, and Benjamin Judkewitz. “Convolutional neural networks that teach microscopes how to image,” September 21, 2017.

Osnabrugge, G., R. Horstmeyer, I. N. Papadopoulos, B. Judkewitz, and I. M. Vellekoop. “Generalized optical memory effect.” Optica 4, no. 8 (August 20, 2017): 886–92. https://doi.org/10.1364/OPTICA.4.000886.

Ryu, Donghun, Zihao Wang, Kuan He, Guoan Zheng, Roarke Horstmeyer, and Oliver Cossairt. “Subsampled phase retrieval for temporal resolution enhancement in lensless on-chip holographic video.” Biomedical Optics Express 8, no. 3 (March 2017): 1981–95. https://doi.org/10.1364/boe.8.001981.

Wang, Z., D. Ryu, K. He, R. Horstmeyer, A. Katsaggelos, and O. Cossairt. “High-speed holographic imaging using compressed sensing and phase retrieval.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 10222, 2017. https://doi.org/10.1117/12.2262737.