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Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
Bijie Bai, Hongda Wang, Yuzhu Li +14
The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagn…
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces
Onur Kulce, Deniz Mengu, Yair Rivenson +1
We report the design of diffractive surfaces to all-optically perform arbitrary complex-valued linear transformations between an input (N_i) and output (N_o), where N_i and N_o rep…
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Deniz Mengu, Muhammed Veli, Yair Rivenson +1
Diffractive optical networks unify wave optics and deep learning to all-optically compute a given machine learning or computational imaging task as the light propagates from the in…
Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light
Yi Luo, Yifan Zhao, Jingxi Li +4
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-o…
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh +4
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning…
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks
Luzhe Huang, Tairan Liu, Xilin Yang +3
Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important st…