A simple and robust technique of Moire topography with single-image capture and incorporating digital filtering along with a four-step digitally implemented phase-shifting method is introduced for three-dimensional (3...
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A simple and robust technique of Moire topography with single-image capture and incorporating digital filtering along with a four-step digitally implemented phase-shifting method is introduced for three-dimensional (3D) surface mapping. Feature details in the order of tens to hundreds of microns can be achieved using interferometrically generated structured light to illuminate the object surface. Compared to the traditional optical phase-shifting method, a digital phase-shifting method based on Fourier processing is implemented with computer-generated sinusoidal patterns derived from the recorded deformed fringes. This enables a single capture of the image that can be used to reconstruct the 3D topography of the surface. Single-shot imaging is simple to implement experimentally and avoids errors in introducing the correct phase shifts. The feasibility of this technique is verified experimentally, and applications to metallic surfaces are demonstrated. (C) 2020 Optical Society of America
Objective: To investigate the impact of X-ray preset acquisition protocol settings on fluoroscopy image quality (IQ) and radiation exposure. Materials & Methods: A quality control (QC) phantom was imaged with a mo...
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Objective: To investigate the impact of X-ray preset acquisition protocol settings on fluoroscopy image quality (IQ) and radiation exposure. Materials & Methods: A quality control (QC) phantom was imaged with a modern digital C-arm system, using various preset fluoroscopy protocols. IQ was assessed using human observers and in-house software for automated evaluation, based on contrast-to-noise ratios of details and their background. Patient radiation exposure was evaluated using the displayed Incident Air-Kerma and Kerma-Area Product values. Results: Protocol selection affects radiation exposure by a factor of about 3. IQ evaluation showed that acquisition protocols produce images with quite different characteristics. The visual IQ evaluation method was time consuming and cumbersome. The automated method, utilized the visual IQ evaluation results for calibration of detection thresholds. However, it failed to reproduce these results for all images and details types. In some images, digital imageprocessing created artifacts which affected the pixel value distributions around details in a way that could be handled only by the human vision. Conclusion: Manufacturers provide many preset protocols designated for specific clinical uses, which have large impact on IQ characteristics and radiation exposure. However, protocol settings' selection rationale is essentially a "black box" for the end user. Though QC phantoms are currently used for IQ evaluation, they are not appropriate for drawing firm conclusions concerning the expected performance of each protocol in clinical practice. Currently, there is no consensus on the optimum technical characteristics of preset protocols for specific procedures. More work is needed in this area.
Breaking the diffraction limit in imaging microscopes with far-field imaging options has always been the thrust challenge for optical engineers and biologists over the years. Although structured illumination microscop...
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Breaking the diffraction limit in imaging microscopes with far-field imaging options has always been the thrust challenge for optical engineers and biologists over the years. Although structured illumination microscopy and Bessel beam assisted imaging has shown the capability of imaging with sub-diffraction resolutions, they rely on the use of objective lenses with large numerical apertures (NA). Hence, they fail to sustain resolutions at larger working distances. In this context, we demonstrate a method for nanoscale resolution imaging at longer working distances, named as Structured Illumination Bessel Microscopy (SIBM). The proposed method is envisaged for both biological and engineering applications that necessitate high imaging resolutions at large working distances. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Directed energy systems rely on the phase conjugation concept to focus laser beams remotely through turbulent environments. In application, a major problem exists where the beacon signal may be neither well defined up...
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Directed energy systems rely on the phase conjugation concept to focus laser beams remotely through turbulent environments. In application, a major problem exists where the beacon signal may be neither well defined upon generation nor free from speckle patterns in its vicinity. Such phenomena make it challenging to extract accurate phase information from the scene of a laser beacon and to direct a phase conjugated beam toward the target. In this work, we propose and demonstrate the use of a plenoptic sensor system that images the 4D phase space of multiple glints on a target. A phase retrieval algorithm is designed and applied to reveal the phase distortion from irregular glint patterns. The reconstruction results are verified through comparison with the phase retrieval from a well-defined beacon that alternates its on/off illumination in adjacent frames. As a result, we show that the multi-glint interference problem can be solved using the plenoptic sensor system, which further broadens the application scenarios for directed energy systems. (C) 2019 Optical Society of America
For a long term, spatial resolution of fluorescence microscopy was strictly restricted by the diffraction limit. To solve this problem, various super-resolution technologies have been developed. Super-resolution radia...
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For a long term, spatial resolution of fluorescence microscopy was strictly restricted by the diffraction limit. To solve this problem, various super-resolution technologies have been developed. Super-resolution radial fluctuations (SRRF), an emerging type of super-resolution microscopy, directly analyze raw images and generate super-resolution results without fluorophore localization, thereby showing more advantages in handling high-density data. Here, by speeding up the process of the algorithm with graphics processing unit (GPU) and programming with Python language, we expand the universality and improve the computing speed of the SRRF algorithm. We further apply our SRRF algorithm in different live-cell super-resolution microscopy methods with two types of fluorescence fluctuation sources: (i) direct stochastic optical reconstruction microscopy (dSTORM) in which fluorophores themselves blink under specific buffer and laser condition and (ii) structural illumination microscopy (SIM) and modulated Airyscan in which fluorescence fluctuations are artificially introduced with modulated laser illumination. With improved spatiotemporal resolution and image quality, our SRRF algorithm demonstrates its capability in live-cell super-resolution imaging, indicating its wide applications in life sciences. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
We demonstrate a compact all-fiber mode selective converter enabled by femtosecond laser micro-machining on the few-mode fiber (FMF) facet. By introducing a micro-structure into the FMF core, we can achieve a pi spati...
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We demonstrate a compact all-fiber mode selective converter enabled by femtosecond laser micro-machining on the few-mode fiber (FMF) facet. By introducing a micro-structure into the FMF core, we can achieve a pi spatial phase difference to the fundamental mode of light to be converted. Theoretical optimization reveals that various high-order modes, including LP11, LP02, and LP21 modes, can be selectively converted by various micro-structures on the FMF facet, with a mode extinction ratio of more than 25 dB and mode coupling efficiency of better than 45% over the C-band. Finally, a proof-of-concept experiment is conducted by inscribing a micro-slot on the two-mode fiber facet for the LP01 to LP11 mode conversion. A micro-slot with a width of 6.7 mu m and a depth of 5.4 mu m is fabricated under the optimal femtosecond laser parameters. A LP01 to LP11 mode conversion with an average insert ion loss of 2.7 dB is realized over the C-band, together with a mode intensity profile correlation efficient of more than 65%. Efficient higher-order mode conversion is feasible with a precise femtosecond laser micro-machining. (C) 2019 Optical Society of America
We describe the use of stacked electrically tunable liquid crystal lenses (TLCLs). along with rod gradient index (GRIN) fixed focus lenses, for endoscopic applications. Architectural and driving conditions are found f...
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We describe the use of stacked electrically tunable liquid crystal lenses (TLCLs). along with rod gradient index (GRIN) fixed focus lenses, for endoscopic applications. Architectural and driving conditions are found for the optimization of total aberrations of the assembly. Particular attention is devoted to the coma and polarization aberrations. The coma aberration is reduced by stacking two TLCLs with "opposed" pre-tilt angles (all molecules are in the same plane), and then two such doublets are used with cross oriented molecules (in perpendicular planes) to reduce the polarization dependence. The obtained adaptive rod-GRIN lens enables a focus scan over 80 mu m (with exceptionally low RMS aberrations <= 0.16 mu m), making possible the high-qualit), observation of neurons at various depths. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Imaging neural activities at the cellular level in the deep brain is essential to understand the structure and functions of nervous systems. Recently developed fully implantable optical sensors have the capability to ...
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Imaging neural activities at the cellular level in the deep brain is essential to understand the structure and functions of nervous systems. Recently developed fully implantable optical sensors have the capability to capture fluorescence signals within the deep tissue;however, their potential for high-quality imaging is not clear. In this paper, we develop a simplified model to analytically study the photon transport in the biological tissue, and utilize it to understand the optical performance of an implantable fluorescence imager. Spatial resolution of the implanted imager is calculated, and imaging qualities for groups of neurons in two- and three-dimensional configurations are evaluated. The results here establish feasible solutions to design implantable optical sensors and predict their performance for biomedical applications. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
The potential use of a novel multichannel optical system towards fast and nondestructive bacteria identification and its application for environmental bacteria characterisation on the strain level is presented. It is ...
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The potential use of a novel multichannel optical system towards fast and nondestructive bacteria identification and its application for environmental bacteria characterisation on the strain level is presented. It is the first attempt to use the proposed optical method to study various bacteria species (Gram-negative, Gram-positive) commonly present in the environment. The novel configuration of the optical system enables multichannel examination of bacterial colonies and provides additional functionality such as registration of two-dimensional (2D) distribution of monochromatic transmission coefficient of examined colonies, what can be used as a novel optical signature for bacteria characterization. Performed statistical analysis indicates that it is possible to identify representatives of environmental soil bacteria on the species level with the 98.51% accuracy and in case of two strains of Rahnella aquatilis bacteria on the strain level with the 98.8% accuracy. The proposed method is an alternative to the currently used preliminary bacteria examination in environment safety control with the advantage of being fast, reliable, nondestructive and requiring minimal sample preparation. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Stereoscopic imagers are widely used in machine vision for three-dimensional (3D) visualization as well as in non-destructive testing for quantitative characterization of cracks, delamination and other defects. Measur...
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Stereoscopic imagers are widely used in machine vision for three-dimensional (3D) visualization as well as in non-destructive testing for quantitative characterization of cracks, delamination and other defects. Measurement capability in these systems is provided by a proper combination of the optical parameters and data processing techniques. Conventional approach to their design consists of two sequential stages: optical system design and optimization of calibration and image processing algorithms. Such two-stage procedure often complicates both the hardware and the software, and results in a time-ineffective design procedure and cost-ineffective solution. We demonstrate a more effective approach and propose to estimate errors of 3D measurements at the early optical design stage. We show that computer simulation using optical design software allows not only optimizing optical parameters of the imager but also choosing the most effective mathematical model of the system and the equipment necessary for calibration. We tested the proposed approach on the design of miniature prism-based stereoscopic system and analyzed the impact of various factors (aberrations, tolerances, etc.) as on the image quality, so on the quality of calibration and 3D measurements accuracy. The proposed joint design approach may be highly effective for various measurement systems and applications when both optical parameters and image processing algorithms are not defined in advance and are necessary to be optimized. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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