6 papers
High-speed volumetric amplitude-spectrum dynamic optical coherence tomography by neural network with multi-burst scanning
Yusong Liu, Ibrahim Abd El-Sadek, Atsuko Furukawa +3
Dynamic optical coherence tomography (DOCT) enables label-free, three-dimensional (3D) assessment of tissue dynamics. However, it suffers from long acquisition times because conven…
Imaging-formulation-based numerical speckle reduction for optical coherence tomography
Xibo Wang, Shuichi Makita, Nobuhisa Tateno +6
Speckle is an intrinsic pattern in optical coherence tomography (OCT) that obscures fine image features and degrades effective resolution. In this study, we propose a numerical spe…
Neural-network-based high-speed and high-definition full-field dynamic optical coherence tomography
Suzuyo Komeda, Nobuhisa Tateno, Yusong Liu +7
A neural-network (NN)-based method for high-speed, high-definition dynamic optical coherence tomography (DOCT) using full-field swept-source optical coherence microscopy (FF-SS-OCM…
Dynamic full-field swept-source optical coherence microscope for cellular-resolution, long-depth, and intratissue-activity imaging
Nobuhisa Tateno, Yue Zhu, Suzuyo Komeda +8
Optical coherence tomography (OCT) microscope (OCM) uses a high-numerical-aperture objective to achieve cellular-level lateral resolution. However, its practical imaging depth rang…
Dynamic optical coherence tomography algorithm for label-free assessment of swiftness and occupancy of intratissue moving scatterers
Rion Morishita, Pradipta Mukherjee, Ibrahim Abd El-Sadek +8
Dynamic optical coherence tomography (DOCT) statistically analyzes fluctuations in time-sequential OCT signals, enabling label-free and three-dimensional visualization of intratiss…
Neural-network based high-speed volumetric dynamic optical coherence tomography
Yusong Liu, Ibrahim Abd El-Sadek, Rion Morishita +5
Wedemonstratedeep-learningneuralnetwork(NN)-baseddynamicopticalcoherence tomography (DOCT), which generates high-quality logarithmic-intensity-variance (LIV) DOCT images from only…