Spectral image super-resolutionResidual learningImage completionMulti-modalityRecent advances have shown the great power of deep convolutional neural networks (CNN) to learn the relationship between low and high-resolution image patches. However, these methods only take a......
Spectral-domain optical coherence tomography SN-IT: Superonasal and inferotemporal SPA1: Stiffness parameter at the first applanation SRAX: Steepest radial axes SIb: Symmetry index back SIf: Symmetry index front TBI: Tomographic/biomechanical index TCT: Thinnest corneal thickness TD-OCT:...
Here, we explore a multi-modal, regression-based model that endows reconstructed fiber tracts with directed and signed weights. We find that the model fits observed data well, outperforming a suite of null models. The estimated weights are subject-specific and highly reliable, even when fit ...
Wavelength SelectionDouble Monochromator (Absorbance and Spectral Scanning), Double Excitation and Emission Monochromator (Fluorescence Intensity), Filters (Tme-Resolved Fluorescence) Accuracy0.003 Abs or ±2%, at 200 to 399 nm (0 to 2 Abs)
Linear multimode optical systems have enabled clean experimental observations and the applications of numerous phenomena that continually extend the boundaries of wave physics. The infrastructure that has enabled these studies facilitates the study of an
2. The architecture consists of a deep 3D CNN for spatial-spectral feature extraction, a recurrent layer for global temporal modeling, and a new loss function for predicting label-related yield. Download: Download high-res image (371KB) Download: Download full-size image Fig. 2. Overview of ...
Full size image Hippocampal pyramidal cells have been proposed to differ according to soma position (deeper or more superficial in the pyramidal cell layer). To assess whether spine properties depend on soma depth, we linked the traces of apical dendrites in the high-resolution SBEM volume with ...
In both datasets the RGB image has been cropped using a centre-crop technique obtaining a new resolution of 560 × 420. The 3D Geometric branch uses as input the 3D projected version of the depth capture. In particular, the depth capture is encoded using the HHA encoding [38], downsampled...
Dispersion remains an enduring challenge for the characterization of wavelength-dependent transmission through optical multimode fiber (MMF). Beyond a small spectral correlation width, a change in wavelength elicits a seemingly independent distribution o
We can estimate the spectral resolution of the device from a correlation function20–23 C(dl,m) ¼ hu(l,m)u(l þ dl,m)il/ [hu(l,m)ilhu(l þ dl,m)il] À 1 where u(l,m) is the intensity of pixel m for image vector of wavelength l. The average correlation over all...