Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram
暂无分享,去创建一个
[1] W. Joseph,et al. Introduction To Fourier Optics 3rd Edition 2007 Joseph W , 2021 .
[2] A. Ozcan,et al. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning , 2018, Nature Biomedical Engineering.
[3] A. Ozcan,et al. Deep learning enables cross-modality super-resolution in fluorescence microscopy , 2018, Nature Methods.
[4] Aydogan Ozcan,et al. Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning , 2018, ACS Photonics.
[5] Vittorio Bianco,et al. A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples , 2018, Light: Science & Applications.
[6] Yibo Zhang,et al. Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery , 2018, Optica.
[7] Yibo Zhang,et al. Deep learning enhanced mobile-phone microscopy , 2017, ACS Photonics.
[8] Aydogan Ozcan,et al. Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring. , 2017, Methods.
[9] Aydogan Ozcan,et al. Edge sparsity criterion for robust holographic autofocusing. , 2017, Optics letters.
[10] Rajan P Kulkarni,et al. 3D imaging of optically cleared tissue using a simplified CLARITY method and on-chip microscopy , 2017, Science Advances.
[11] Joe Chalfoun,et al. MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization , 2017, Scientific Reports.
[12] Yibo Zhang,et al. Phase recovery and holographic image reconstruction using deep learning in neural networks , 2017, Light: Science & Applications.
[13] Vittorio Bianco,et al. Endowing a plain fluidic chip with micro-optics: a holographic microscope slide , 2017, Light: Science & Applications.
[14] Shuai Li,et al. Lensless computational imaging through deep learning , 2017, ArXiv.
[15] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Yibo Zhang,et al. Sparsity-based multi-height phase recovery in holographic microscopy , 2016, Scientific Reports.
[17] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[18] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[20] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[21] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[22] Aydogan Ozcan,et al. Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy , 2012, Nature Methods.
[23] A. Ozcan,et al. Maskless imaging of dense samples using pixel super-resolution based multi-height lensfree on-chip microscopy , 2012, Optics Express.
[24] Alan C. Bovik,et al. Blind/Referenceless Image Spatial Quality Evaluator , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[25] B Javidi,et al. Automatic focusing in digital holography and its application to stretched holograms. , 2011, Optics letters.
[26] Derek Tseng,et al. Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications. , 2010, Lab on a chip.
[27] Daniel L Marks,et al. Compressive holography. , 2009, Optics express.
[28] E. Cuche,et al. Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. , 2005, Optics letters.
[29] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[30] A. Bovik,et al. A universal image quality index , 2002, IEEE Signal Processing Letters.
[31] W Xu,et al. Digital in-line holography for biological applications , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[32] Michael Unser,et al. A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..
[33] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[34] J R Fienup,et al. Phase retrieval algorithms: a comparison. , 1982, Applied optics.