NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
暂无分享,去创建一个
Christopher A. Metzler | Brandon Yushan Feng | A. Veeraraghavan | V. Boominathan | Mingyang Xie | Haiyun Guo | M. K. Sharma | Vivek Boominathan | Manoj K. Sharma
[1] Brandon Yushan Feng,et al. VIINTER: View Interpolation with Implicit Neural Representations of Images , 2022, SIGGRAPH Asia.
[2] Jiamin Wu,et al. An integrated imaging sensor for aberration-corrected 3D photography , 2022, Nature.
[3] L. Waller,et al. Dynamic Structured Illumination Microscopy with a Neural Space-time Model , 2022, 2022 IEEE International Conference on Computational Photography (ICCP).
[4] Technion,et al. Fluorescent wavefront shaping using incoherent iterative phase conjugation , 2022, Optica.
[5] Aswin C. Sankaranarayanan,et al. Enhancing Speckle Statistics for Imaging Inside Scattering Media , 2022, Optica.
[6] Danilo Jimenez Rezende,et al. From data to functa: Your data point is a function and you can treat it like one , 2022, ICML.
[7] Shalini De Mello,et al. Efficient Geometry-aware 3D Generative Adversarial Networks , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Timothy D. Weber,et al. Roadmap on wavefront shaping and deep imaging in complex media , 2021, Journal of Physics: Photonics.
[9] Yu Sun,et al. Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields , 2021, Nature Machine Intelligence.
[10] Kazuhiro Kurokawa,et al. Adaptive optics for high-resolution imaging , 2021, Nature Reviews Methods Primers.
[11] Brandon Yushan Feng,et al. SIGNET: Efficient Neural Representation for Light Fields , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[12] Matthias T. Banet,et al. 3D multi-plane sharpness metric maximization with variable corrective phase screens. , 2021, Applied optics.
[13] Aydogan Ozcan,et al. Computational imaging without a computer: seeing through random diffusers at the speed of light , 2021, eLight.
[14] Marina Alterman,et al. Imaging with Local Speckle Intensity Correlations: Theory and Practice , 2021, ACM Trans. Graph..
[15] Maarten H. P. Kole,et al. Robust adaptive optics for localization microscopy deep in complex tissue , 2021, Nature Communications.
[16] Qionghai Dai,et al. Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale , 2021, Cell.
[17] A. Jesacher,et al. Fast holographic scattering compensation for deep tissue biological imaging , 2021, Nature Communications.
[18] Ellen D. Zhong,et al. CryoDRGN: Reconstruction of heterogeneous cryo-EM structures using neural networks , 2021, Nature Methods.
[19] Julien Lozi,et al. Predictive control for adaptive optics using neural networks , 2021, Journal of Astronomical Telescopes, Instruments, and Systems.
[20] Tomer Yeminy,et al. Guidestar-free image-guided wavefront shaping , 2020, Science Advances.
[21] Gordon Wetzstein,et al. Implicit Neural Representations with Periodic Activation Functions , 2020, NeurIPS.
[22] Oliver Cossairt,et al. WISHED: Wavefront imaging sensor with high resolution and depth ranging , 2020, 2020 IEEE International Conference on Computational Photography (ICCP).
[23] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[24] Sungsam Kang,et al. Deep optical imaging within complex scattering media , 2020, Nature Reviews Physics.
[25] M. J. Booth,et al. Wavefront‐sensorless adaptive optics with a laser‐free spinning disk confocal microscope , 2020, bioRxiv.
[26] Gerwin Osnabrugge,et al. Model-based wavefront shaping microscopy. , 2020, Optics letters.
[27] Laura Waller,et al. Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network , 2020, Optica.
[28] Michael Unser,et al. Time-Dependent Deep Image Prior for Dynamic MRI , 2019, IEEE Transactions on Medical Imaging.
[29] Y. Silberberg,et al. Light focusing through scattering media via linear fluorescence variance maximization, and its application for fluorescence imaging. , 2019, Optics express.
[30] Jonathan Dong,et al. Noninvasive light focusing in scattering media using speckle variance optimization , 2019, Optica.
[31] Manoj Kumar Sharma,et al. WISH: wavefront imaging sensor with high resolution , 2019, Light: Science & Applications.
[32] Richard A. Newcombe,et al. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Abbie T. Watnik,et al. Wavefront Sensing in Deep Turbulence , 2018, Optics and Photonics News.
[34] Ori Katz,et al. Noninvasive focusing through scattering layers using speckle correlations. , 2018, Optics letters.
[35] Lei Tian,et al. Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media , 2018, Optica.
[36] Ulugbek Kamilov,et al. Efficient and accurate inversion of multiple scattering with deep learning , 2018, Optics express.
[37] Hao Li,et al. Visualizing the Loss Landscape of Neural Nets , 2017, NeurIPS.
[38] Jin Hyoung Park,et al. High-resolution adaptive optical imaging within thick scattering media using closed-loop accumulation of single scattering , 2017, Nature Communications.
[39] Tae Joong Eom,et al. In vivo study of optical speckle decorrelation time across depths in the mouse brain. , 2017, Biomedical optics express.
[40] Robert J Zawadzki,et al. Review of adaptive optics OCT (AO-OCT): principles and applications for retinal imaging [Invited]. , 2017, Biomedical optics express.
[41] Ioannis N. Papadopoulos,et al. Scattering compensation by focus scanning holographic aberration probing (F-SHARP) , 2016, Nature Photonics.
[42] R. Raskar,et al. All Photons Imaging Through Volumetric Scattering , 2016, Scientific Reports.
[43] Changhuei Yang,et al. Guidestar-assisted wavefront-shaping methods for focusing light into biological tissue , 2015, Nature Photonics.
[44] Michael Unser,et al. Learning approach to optical tomography , 2015, 1502.01914.
[45] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[46] Puxiang Lai,et al. Photoacoustically guided wavefront shaping for enhanced optical focusing in scattering media , 2014, Nature Photonics.
[47] Martin J. Booth,et al. Adaptive optical microscopy: the ongoing quest for a perfect image , 2014, Light: Science & Applications.
[48] M. Fink,et al. Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations , 2014, Nature Photonics.
[49] Xiaodong Li,et al. Phase Retrieval from Coded Diffraction Patterns , 2013, 1310.3240.
[50] Jacopo Bertolotti,et al. Non-invasive imaging through opaque scattering layers , 2012, Nature.
[51] Ivo M Vellekoop,et al. Digital optical phase conjugation of fluorescence in turbid tissue. , 2012, Applied physics letters.
[52] G. Lerosey,et al. Controlling waves in space and time for imaging and focusing in complex media , 2012, Nature Photonics.
[53] D. Conkey,et al. Genetic algorithm optimization for focusing through turbid media in noisy environments. , 2012, Optics express.
[54] Lihong V. Wang,et al. Time-reversed ultrasonically encoded optical focusing into scattering media , 2010, Nature photonics.
[55] Demetri Psaltis,et al. Digital phase conjugation of second harmonic radiation emitted by nanoparticles in turbid media. , 2010, Optics express.
[56] Tony Wilson,et al. Image-based adaptive optics for two-photon microscopy. , 2009, Optics letters.
[57] Abbie E. Tippie,et al. Phase-error correction for multiple planes using a sharpness metric , 2009 .
[58] A. Mosk,et al. Focusing coherent light through opaque strongly scattering media. , 2007, Optics letters.
[59] R. Muller,et al. Real-time correction of atmospherically degraded telescope images through image sharpening , 1974 .
[60] Christopher A. Metzler,et al. Solving Inverse Problems using Self-Supervised Deep Neural Nets , 2021, OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
[61] Ang,et al. Ultra-high resolution coded wavefront sensor , 2017 .