Notes

VannoPortal: multiscale functional annotation of individual hereditary versions regarding interrogating molecular procedure associated with traits as well as conditions.
Philip E. Ciddor and Reginald J. Hill published an analytical expression and a detailed procedure in 1999 on how to compute the group refractive index of air [Appl. Opt.38, 1663 (1999).APOPAI0003-693510.1364/AO.38.001663]. The International Association of Geodesy (IAG) has been referring to this procedure in its official recommendations for the compensation of the index of refraction in geodetic observations since then. Equation (B2) of the published procedure, however, contains a sign error. For proper application, this error must be corrected accordingly.Metal beam strain detection may offer valuable insight into health monitoring for large-scale steel structures. This research presents, to the best of our knowledge, the first implementation of ultra-weak fiber Bragg gratings for the deformation detection of a double-clamped beam because of their higher multiplexing and denser detection points compared to fiber Bragg gratings. The measured values are entirely consistent with those determined by strain gauges applied for reference and demonstrate that the strain of each sensing point increases linearly with the load at the middle of the beam. The errors of different loads at different load points between inversion maximum deflection and measured displacement are less than 9.59%.In this study, the effects of the coating film thickness on a grating interferometry system were analyzed. The asymmetry-induced error of the deformed phase grating varied periodically with the coating film thickness, due to the spurious interference of multiple reflections in the film layer and asymmetry in the amplitudes of the diffraction orders, which led to phase offsets (and thus position errors). The average error obtained with a multiorder interferometer was compared to that simulated by atomic force microscopy. The simulation and measurement results were consistent with the theoretical analysis, which will facilitate accurate measurement error analysis.This publisher's note amends the author listing and affiliation section in Appl. Opt.59, 8895 (2020)APOPAI0003-693510.1364/AO.396804.Compression is a common operation in multiple-image encryption (MIE) schemes. For most of the existing MIE schemes, the compression process would lead to the waste of the detect data. In this paper, a novel MIE scheme based on the single-pixel Radon transform (RT) is proposed. In the encryption process, the single-pixel RT of each image from 0° to 180° is performed. This process can be realized by an optical setup. All Radon spectra are combined and encrypted by the asymmetric cryptosystem based on phase-truncated Fourier transforms (PTFT). selleck chemical To increase the security, the Arnold map and logistic map are used to scramble and diffuse the result of PTFT. Unlike conventional MIE schemes, there is no extra compression operation and data waste in the proposed method. The key sensitivity, the multiplexing capacity, and the security under various attacks are analyzed through simulation results. The optical experiment is also performed to demonstrate the feasibility of the proposed optical MIE scheme.In this paper, the theoretical model is established to predict the optical surface roughness of difficult-to-cut material in ultrasonic assisted diamond turning (UADT). The effects of kinematics, material elastic recovery, and plastic side flow aiming at the characteristics of vibration cutting are considered. The convincing results predicted can be obtained when main machining parameters change, such as cutting speed, cutting depth, tool feed rate, tool frequency, and amplitude. Furthermore, the qualitative analysis of the model is demonstrated on the basis of comparing the trend variation by theoretical results and simulative results with the finite element method (FEM). The arithmetic average value of the vertical coordinates of the workpiece surface nodes is regarded as the surface roughness in the FEM. The minimum mesh size of workpiece is set as 5 nm in order to gain relatively exact results and avoid exceeded element distortions. Moreover, the accuracy of the predictive model is verified by cutting the MB5 magnesium alloy with UADT. The maximum error for surface roughness Ra is merely 10.26%, and average error is only about 6% after analyzing experiment and prediction results. The optimal surface roughness Ra of magnesium alloy reflector can be 3.388 nm with UADT so that the optical application level is realized only by UADT means without subsequent abrasive machining. Therefore, the predicting model is valuable for theory guidance and engineering application in the optical manufactory field of difficult-to-cut material with UADT.The testing of astigmatism and field curvature of an optical system with light-field imaging is proposed. The method consists in measuring the depth map, obtained with a plenoptic camera, of the image of a test pattern formed by the optical system. To demonstrate the accuracy of the method, the virtual image formed by a plano-convex lens was tested. The resulting depth map was compared with the sagittal and tangential foci distances calculated with the Coddington theory. The proposed method could be applied to the quality testing of ocular optics, including eyeglasses, eyepieces, virtual reality goggles, and augmented reality devices.In this paper, we used a convolutional neural network to study the classification of marine microalgae by using low-resolution Mueller matrix images. Mueller matrix images of 12 species of algae from 5 families were measured by a Mueller matrix microscopy with an LED light source at 514 nm wavelength. The data sets of seven resolution levels were generated by the bicubic interpolation algorithm. We conducted two groups of classification experiments; one group classified the algae into 12 classes according to species category, and the other group classified the algae into 5 classes according to family category. In each group of classification experiments, we compared the classification results of the Mueller matrix images with those of the first element (M11) images. The classification accuracy of Mueller matrix images declines gently with the decrease of image resolution, while the accuracy of M11 images declines sharply. The classification accuracy of Mueller matrix images is higher than that of M11 images at each resolution level.
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