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  • Three-dimensional imaging of spatio-temporal dynamics of small b... Optical coherence tomography angiography (OCTA) has emerged as an advanced in vivo imaging modality, which is widely used for the clinic ophthalmology and neuroscience research in the rodent brain cortex among others. Based on the high numerical aperture ...
  • Detection and localization of the hemoglobin and collagen distri... ... of the blood vessels and collagen are associated with the development of abnormal cervical cells. Recently, optical coherence tomography and Mueller polarization images were used to provide information regarding the presence of collagen fibers in the ...
  • Frequency comb swept laser with a high- ... of circular interferometric imaging, which was proposed to break the bottleneck of data acquisition and processing in optical coherence tomography (OCT) at video rate. In this paper, we propose and demonstrate a highly coherent frequency comb swept laser ...
  • Liquid crystal integrated metalens with tunable chromatic aberra... ... to facilitate full-color and hyperspectral imaging. By contrast, large dispersion holds opportunities for spectroscopy and tomography. Combining both functions into a single component will significantly enhance its versatility. A strategy is proposed to ...
  • Solving the missing cone problem by deep learning A commentary on the article “Three-dimensional tomography of red blood cells using deep learning” by J. Lim, A. Ayoub, and D. Psaltis, Adv. Photonics Volume 2, Issue 2, doi: 10.1117/1.AP.2.2.026001.
  • Wide-field ophthalmic space-division multiplexing optical cohere... High-speed ophthalmic optical coherence tomography (OCT) systems are of interest because they allow rapid, motion-free, ... wide-field retinal imaging. Space-division multiplexing optical coherence tomography (SDM-OCT) is a high-speed imaging technology that ...
  • Three-dimensional tomography of red blood cells using deep learn... We accurately reconstruct three-dimensional (3-D) refractive index (RI) distributions from highly ill-posed two-dimensional (2-D) measurements using a deep neural network (DNN). Strong distortions are introduced on reconstructions obtained by the Wolf ...
  • High-speed We demonstrate a label-free, scan-free intensity diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume three-dimensional (3-D) refractive index distributions
  • Tikhonov-regularization-based projecting sparsity pursuit method... For fluorescence molecular tomography (FMT), image quality could be improved by incorporating a sparsity constraint. The L1 norm regularization method has been proven better than the L2 norm, like Tikhonov regularization. However, the Tikhonov method was ...
  • Experimental demonstration of full-field quantum optical coheren... We present, to the best of our knowledge, the first implementation of full-field quantum optical coherence tomography (FF-QOCT). In our system, we are able to obtain full three-dimensional (3D) information about the internal structure of a sample under ...