Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields

Machine learning holography for 3D particle field imaging

(2020) Siyao Shao et al.   OPTICS EXPRESS

RedCap: residual encoder-decoder capsule network for holographic image reconstruction

(2020) Tianjiao Zeng et al.   OPTICS EXPRESS

An ultra-compact particle size analyser using a CMOS image sensor and machine learning

(2020) Rubaiya Hussain et al.   Light-Science & Applications

Deep learning-based hologram generation using a white light source

(2020) Taesik Go et al.   Scientific Reports

Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction

(2020) Kaiqiang Wang et al.   OPTICS LETTERS

Deep learning-based cell identification and disease diagnosis using spatio-temporal cellular dynamics in compact digital holographic microscopy

(2020) Timothy O’Connor et al.   Biomedical Optics Express

Focus prediction in digital holographic microscopy using deep convolutional neural networks

(2019) Tomi Pitkäaho et al.   APPLIED OPTICS

Digital holographic particle volume reconstruction using a deep neural network

(2019) Tomoyoshi Shimobaba et al.   APPLIED OPTICS

Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks

(2019) Zhenxiang Luo et al.   OPTICS EXPRESS

Regularized inverse holographic volume reconstruction for 3D particle tracking

(2019) Kevin Mallery et al.   OPTICS EXPRESS

No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network

(2019) Keyvan Jaferzadeh et al.   Biomedical Optics Express

On the use of deep learning for computational imaging

(2019) George Barbastathis et al.   Optica

Understanding Deep Learning Techniques for Image Segmentation

(2019) Swarnendu Ghosh et al.   ACM COMPUTING SURVEYS

Y-Net: a one-to-two deep learning framework for digital holographic reconstruction

(2019) Kaiqiang Wang et al.   OPTICS LETTERS

Accurate detection of small particles in digital holography using fully convolutional networks

(2019) Xuecheng Wu et al.   APPLIED OPTICS

Machine-learning techniques for fast and accurate feature localization in holograms of colloidal particles

(2018) Mark D. Hannel et al.   OPTICS EXPRESS

Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery

(2018) Yichen Wu et al.   Optica

Phase aberration compensation for digital holographic microscopy based on double fitting and background segmentation

(2018) Shuo Liu et al.   OPTICS AND LASERS IN ENGINEERING

Compressive holography with resolution improvement and lensless adjustable magnification

(2018) J.C. de Souza et al.   OPTICS COMMUNICATIONS

Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection

(2017) Thanh Nguyen et al.   OPTICS EXPRESS

Automated red blood cells extraction from holographic images using fully convolutional neural networks

(2017) Faliu Yi et al.   Biomedical Optics Express

Phase recovery and holographic image reconstruction using deep learning in neural networks

(2017) Yair Rivenson et al.   Light-Science & Applications

Accurate calculation of computer-generated holograms using angular-spectrum layer-oriented method

(2015) Yan Zhao et al.   OPTICS EXPRESS