Different approaches of 2D lens arrays as Shack–Hartmann sensors for hard X-rays are compared. For the first time, a combination of Shack–Hartmann sensors for hard X-rays (SHSX) with a super-resolution imaging approach to perform multi-contrast imaging is demonstrated. A diamond lens is employed as a well known test object. The interleaving approach has great potential to overcome the 2D lens array limitation given by the two-photon polymerization lithography. Finally, the radiation damage induced by continuous exposure of an SHSX prototype with a white beam was studied showing a good performance of several hours. The shape modification and influence in the final image quality are presented.

The composition of occupied and unoccupied electronic states in the vicinity of Fermi energies is vital for all materials and relates to their physical, chemical and mechanical properties. This work demonstrates how the combination of resonant and non-resonant X-ray emission spectroscopies supplemented with theoretical modelling allows for quantitative analysis of electronic states in 5d transition metal and metal-oxide materials. Application of X-rays provides element selectivity that, in combination with the penetrating properties of hard X-rays, allows determination of the composition of electronic states under working conditions, i.e. non-vacuum environment. Tungsten metal and tungsten oxide are evaluated to show the capability to simultaneously assess composition of around-band-gap electronic states as well as the character and magnitude of the crystal field splitting.

The unique diagnostic possibilities of X-ray diffraction, small X-ray scattering and phase-contrast imaging techniques applied with high-intensity coherent X-ray synchrotron and X-ray free-electron laser radiation can only be fully realized if a sufficient dynamic range and/or spatial resolution of the detector is available. In this work, it is demonstrated that the use of lithium fluoride (LiF) as a photoluminescence (PL) imaging detector allows measuring of an X-ray diffraction image with a dynamic range of ∼107 within the sub-micrometre spatial resolution. At the PETRA III facility, the diffraction pattern created behind a circular aperture with a diameter of 5 µm irradiated by a beam with a photon energy of 500 eV was recorded on a LiF crystal. In the diffraction pattern, the accumulated dose was varied from 1.7 × 105 J cm−3 in the central maximum to 2 × 10−2 J cm−3 in the 16th maximum of diffraction fringes. The period of the last fringe was measured with 0.8 µm width. The PL response of the LiF crystal being used as a detector on the irradiation dose of 500 eV photons was evaluated. For the particular model of laser-scanning confocal microscope Carl Zeiss LSM700, used for the readout of the PL signal, the calibration dependencies on the intensity of photopumping (excitation) radiation (λ = 488 nm) and the gain have been obtained.

An energy resolution of <10 µeV for the measurement of phonon energy change is achieved with the inelastic neutron spin echo technique on a conventional neutron triple-axis spectrometer.

Detailed analysis of the high-flux deficiencies of pixel-array detectors leads to a protocol for the measurement of structure factors of unprecedented accuracy even for inorganic materials, and this significantly advances the prospects for experimental electron-density investigations.

A detailed theoretical and experimental comparison of dark-field electron holography (DFEH) and high-resolution X-ray diffraction (HRXRD) is performed. Both techniques are being applied to measure elastic strain in an array of transistors and the role of the geometric phase is emphasized.

Bacterial cytokinesis is mediated by the Z-ring, which is formed by the prokaryotic tubulin homolog FtsZ. Recent data indicate that the Z-ring is composed of small patches of FtsZ protofilaments that travel around the bacterial cell by treadmilling. Treadmilling involves a switch from a relaxed (R) state, favored for monomers, to a tense (T) conformation, which is favored upon association into filaments. The R conformation has been observed in numerous monomeric FtsZ crystal structures and the T conformation in Staphylococcus aureus FtsZ crystallized as assembled filaments. However, while Escherichia coli has served as a main model system for the study of the Z-ring and the associated divisome, a structure has not yet been reported for E. coli FtsZ. To address this gap, structures were determined of the E. coli FtsZ mutant FtsZ(L178E) with GDP and GTP bound to 1.35 and 1.40 Å resolution, respectively. The E. coli FtsZ(L178E) structures both crystallized as straight filaments with subunits in the R conformation. These high-resolution structures can be employed to facilitate experimental cell-division studies and their interpretation in E. coli.

The National Aeronautics and Space Administration has made available to the public a new online collection of images that capture the excitement of planetary exploration and the journey to understand the origin and evolution of the solar system.

The post Stunning high-resolution NASA images available online for public exhibits appeared first on Smithsonian Insider.

Today, astronomers are releasing the highest-resolution images ever taken of the Sun's corona, or million-degree outer atmosphere, in an extreme-ultraviolet wavelength of light.

The post Astronomers release highest-resolution images ever of the Sun’s corona appeared first on Smithsonian Insider.

Xian Hu, Salma Jalal, Michael Sheetz, Oddmund Bakke, and Felix Margadant

Despite progress made in confocal microscopy, even fast systems still have insufficient temporal resolution for detailed live cell volume imaging, such as tracking rapid movement of membrane vesicles in three-dimensional space. Depending on the shortfall, this may result in undersampling and/or motion artifacts that ultimately limit the quality of the imaging data. By sacrificing detailed information in the Z-direction, we propose a new imaging modality that involves capturing fast "projections" from the field of depth which shortens imaging time by approximately an order of magnitude as compared to standard volumetric confocal imaging. With faster imaging, radiation exposure to the sample is reduced, resulting in less fluorophore photobleaching and potential photodamage. The implementation minimally requires two synchronized control signals that drive a piezo stage and trigger the camera exposure. The device generating the signals has been tested on spinning disk confocals and instant structured-illumination-microscopy (iSIM) microscopes. Our calibration images show that the approach provides highly repeatable and stable imaging conditions that enable photometric measurements of the acquired data, in both standard live imaging and super-resolution modes.

Björn Eismann, Teresa G. Krieger, Jürgen Beneke, Ruben Bulkescher, Lukas Adam, Holger Erfle, Carl Herrmann, Roland Eils, and Christian Conrad

3D cell cultures enable the in vitro study of dynamic biological processes such as the cell cycle, but their use in high-throughput screens remains impractical with conventional fluorescent microscopy. Here, we present a screening workflow for the automated evaluation of mitotic phenotypes in 3D cell cultures by light-sheet microscopy. After sample preparation by a liquid handling robot, cell spheroids are imaged for 24 hours in toto with a dual-view inverted selective plane illumination microscope (diSPIM) with a much improved signal-to-noise ratio, higher imaging speed, isotropic resolution and reduced light exposure compared to a spinning disc confocal microscope. A dedicated high-content image processing pipeline implements convolutional neural network based phenotype classification. We illustrate the potential of our approach by siRNA knock-down and epigenetic modification of 28 mitotic target genes for assessing their phenotypic role in mitosis. By rendering light-sheet microscopy operational for high-throughput screening applications, this workflow enables target gene characterization or drug candidate evaluation in tissue-like 3D cell culture models.

Björn Eismann
Apr 15, 2020; 0:jcs.245043v1-jcs.245043
TOOLS AND RESOURCES

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Scientists at NTU Singapore have developed the prototype of a handheld medical imaging device that can produce images down to resolutions of 1 to 2 micrometres. This is detailed enough to spot the first signs of tumours in specific cells and is about 100 times higher resolution than what X-Ray, computed tomography (CT) and Magnetic Resonance Imaging (MRI) machines can provide....

It's time for some healthy change. Here are some fundamental truths you need to know about diet, exercise and other wellness goals.

Everything from the way we tell time to the way we measure things and plug in our phones is screwed up.

From losing weight to learning a language, these apps will help you stay on track.

Firms claim Crusader offering will “revolutionise” insurance and commercial dispute resolution.

High-resolution Lens for megapixel cameras.(3Z4S-LE SV-H / VS-H1 Series)

High-resolution telecentric lens for megapixel camera(3Z4S-LE VS-TCH Series)

A lock ring locking the surface and the improved design of internal structure increase resistance to vibration(3Z4S-LE VS-MCH Series)

Ultra-high-resolution telecentric lens for 1.1-inch cameras(3Z4S-LE VS-TEV Series)

Ultra-high-resolution lens for 4/3-inch cameras(3Z4S-LE VS-LLD Series)

Vibrations resistant lens with iris plate system for megapixel C-mount cameras(3Z4S-LE VS-MCH1 Series)

MD Chris Blackwell will continue to lead Trilogy as the MGA states it does not expect any changes to the business following the deal.

This article describes another option for photo image enlargement, using the 4x5" film camera together with a high definition flat bed film scanner. For those in search for the best film enlargement, using this setup might just surprise you.

This article describes another option for photo image enlargement, using the 4x5 inch film camera together with a high definition flat bed film scanner. For those in search for the best film enlargement, using this setup might just surprise you.

Resolution Physiotherapy & IMS Clinic is a second year Consumer Choice Award winner in the category of Physiotherapists in the region of Barrie. The company has been in business since 2010 and is Barrie's leading Physiotherapy Service Provider.

Fanz Collectibles kicks off National College Tour!

An inspirational keynote speaker and trainer, Romanella is founder and principal of 3SIXTY Management Services, LLC. He has over 40 years of leadership at Fortune 100's.

CPI Consulting CEO for over 30 years reveals success strategies for "Planning the Life You Desire ~ Living the Life You Deserve: Creating & Achieving Goals That Matter Most"

How to Lose Weight and Actually Keep It Off

Rosabeth Moss Kanter, Bill Taylor, Herminia Ibarra, Paul Hemp, Tammy Erickson, and Tom Davenport, suggest New Year's resolutions for business executives.

Peter Bregman, author of "18 Minutes: Find Your Focus, Master Distraction, and Get the Right Things Done."

How an organization responds to CCPA and future-proofs itself against additional laws will dictate how well it will perform for years to come

Bids were submitted by CarVal Investors and Nithiya Capital Resources Advisors. The resolution plans involve settlement to financial creditors of Uttam Value Steels with a total upfront and contingent payment of Rs 1,078 crore and Rs 1,576 crore for Uttam Metallics.

We construct a smooth moduli stack of tuples consisting of genus two nodal curves, line bundles, and twisted fields. It leads to a desingularization of the moduli of genus two stable maps to projective spaces. The construction of this new moduli is based on systematical application of the theory of stacks with twisted fields (STF), which has its prototype appeared in arXiv:1906.10527 and arXiv:1201.2427 and is fully developed in this article. The results of this article are the second step of a series of works toward the resolutions of the moduli of stable maps of higher genera.

Robots operating in household environments must find objects on shelves, under tables, and in cupboards. Previous work often formulate the object search problem as a POMDP (Partially Observable Markov Decision Process), yet constrain the search space in 2D. We propose a new approach that enables the robot to efficiently search for objects in 3D, taking occlusions into account. We model the problem as an object-oriented POMDP, where the robot receives a volumetric observation from a viewing frustum and must produce a policy to efficiently search for objects. To address the challenge of large state and observation spaces, we first propose a per-voxel observation model which drastically reduces the observation size necessary for planning. Then, we present a novel octree-based belief representation which captures beliefs at different resolutions and supports efficient exact belief update. Finally, we design an online multi-resolution planning algorithm that leverages the resolution layers in the octree structure as levels of abstractions to the original POMDP problem. Our evaluation in a simulated 3D domain shows that, as the problem scales, our approach significantly outperforms baselines without resolution hierarchy by 25%-35% in cumulative reward. We demonstrate the practicality of our approach on a torso-actuated mobile robot searching for objects in areas of a cluttered lab environment where objects appear on surfaces at different heights.

Deep neural networks have exhibited promising performance in image super-resolution (SR). Most SR models follow a hierarchical architecture that contains both the cell-level design of computational blocks and the network-level design of the positions of upsampling blocks. However, designing SR models heavily relies on human expertise and is very labor-intensive. More critically, these SR models often contain a huge number of parameters and may not meet the requirements of computation resources in real-world applications. To address the above issues, we propose a Hierarchical Neural Architecture Search (HNAS) method to automatically design promising architectures with different requirements of computation cost. To this end, we design a hierarchical SR search space and propose a hierarchical controller for architecture search. Such a hierarchical controller is able to simultaneously find promising cell-level blocks and network-level positions of upsampling layers. Moreover, to design compact architectures with promising performance, we build a joint reward by considering both the performance and computation cost to guide the search process. Extensive experiments on five benchmark datasets demonstrate the superiority of our method over existing methods.

High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an important task for element extraction, has been widely used in processing mass HRRSIs. However, HRRSIs often exhibit large intraclass variance and small interclass variance due to the diversity and complexity of ground objects, thereby bringing great challenges to a semantic segmentation task. In this paper, we propose a new end-to-end semantic segmentation network, which integrates lightweight spatial and channel attention modules that can refine features adaptively. We compare our method with several classic methods on the ISPRS Vaihingen and Potsdam datasets. Experimental results show that our method can achieve better semantic segmentation results. The source codes are available at https://github.com/lehaifeng/SCAttNet.

Low-resolution text images are often seen in natural scenes such as documents captured by mobile phones. Recognizing low-resolution text images is challenging because they lose detailed content information, leading to poor recognition accuracy. An intuitive solution is to introduce super-resolution (SR) techniques as pre-processing. However, previous single image super-resolution (SISR) methods are trained on synthetic low-resolution images (e.g.Bicubic down-sampling), which is simple and not suitable for real low-resolution text recognition. To this end, we pro-pose a real scene text SR dataset, termed TextZoom. It contains paired real low-resolution and high-resolution images which are captured by cameras with different focal length in the wild. It is more authentic and challenging than synthetic data, as shown in Fig. 1. We argue improv-ing the recognition accuracy is the ultimate goal for Scene Text SR. In this purpose, a new Text Super-Resolution Network termed TSRN, with three novel modules is developed. (1) A sequential residual block is proposed to extract the sequential information of the text images. (2) A boundary-aware loss is designed to sharpen the character boundaries. (3) A central alignment module is proposed to relieve the misalignment problem in TextZoom. Extensive experiments on TextZoom demonstrate that our TSRN largely improves the recognition accuracy by over 13%of CRNN, and by nearly 9.0% of ASTER and MORAN compared to synthetic SR data. Furthermore, our TSRN clearly outperforms 7 state-of-the-art SR methods in boosting the recognition accuracy of LR images in TextZoom. For example, it outperforms LapSRN by over 5% and 8%on the recognition accuracy of ASTER and CRNN. Our results suggest that low-resolution text recognition in the wild is far from being solved, thus more research effort is needed.

An optically active bicyclic compound is efficiently produced by optical resolution using an optically active amine.

An audio encoder for encoding an audio signal has a first coding branch, the first coding branch comprising a first converter for converting a signal from a time domain into a frequency domain. Furthermore, the audio encoder has a second coding branch comprising a second time/frequency converter. Additionally, a signal analyzer for analyzing the audio signal is provided. The signal analyzer, on the hand, determines whether an audio portion is effective in the encoder output signal as a first encoded signal from the first encoding branch or as a second encoded signal from a second encoding branch. On the other hand, the signal analyzer determines a time/frequency resolution to be applied by the converters when generating the encoded signals. An output interface includes, in addition to the first encoded signal and the second encoded signal, a resolution information identifying the resolution used by the first time/frequency converter and used by the second time/frequency converter.

Various system and method embodiments are disclosed that include using a first node to receive messages including error information from a plurality of client computers via a computer network. Recommendations for resolving errors associated with the error information are made available to the client computers via the computer network.

A data processing system on an integrated circuit includes a core that performs switching operations responsive to a system clock that draws current from the power supply network. An IR-drop detector includes a resistor ladder having outputs representative of an IR-drop caused by the core during the switching operations. The system further includes a plurality of amplifiers coupled to the outputs indicative of the IR-drop, a plurality of flip-flops coupled to the amplifiers, and a variable clock generator. The variable clock generator outputs a sampling clock comprising a group consisting of a variable phase or a variable frequency to the plurality of flip-flops. The flip-flops are triggered by the sampling clock so that the IR-drop at a time during a clock cycle of the system clock can be detected, and the peak IR-drop value for can be tracked.

A system and method of high-speed microscopy using a two-photon microscope with spectral resolution. The microscope is operable to provide two- to five-dimensional fluorescence images of samples, including two or three spatial dimensions, a spectral dimension (for fluorescence emission), and a temporal dimension (on a scale of less than approximately one second). Two-dimensional (spatial) images with a complete wavelength spectrum are generated from a single scan of a sample. The microscope may include one of a multi-beam point scanning microscope, a single beam line scanning microscope, and a multi-beam line scanning microscope. The line scans may be formed using one or more of curved mirrors and lenses. The multiple beams may be formed using one of a grating, an array of lenses, and a beam splitter.

An automated method for cueing a high resolution video camera to a mobile object involves first detecting the presence of an object by a wide-area surveillance asset such as a radar and using the radar's positional information to cue the video camera iteratively, while updating the positional information each time. Then, a video analytics algorithm detects the object and generates more accurate positional and rate information on the object, which is then used to cue the video camera into a higher resolution setting for classifying/identifying the object. Once the object is identified, the positional and rate information is updated and the updated information is used to further cue the video camera into a higher resolution setting for recording a video clip of the moving object while the video camera is dynamically steered.

A method for scanning and decoding encoded symbols comprises processing low resolution image data from a full field of view and/or high resolution image data from one or more windowed segments of the field of view to provide imaging that is easily adaptable to different types of symbols and varying environmental conditions. The scanning method can be switched between the low resolution mode and the high resolution mode automatically based on whether the low resolution data is sufficiently accurate to decode the symbol.

A user may couple an external display to an electronic device using a communications path. Extended display identification data or other information on the capabilities of the external display may be provided to the electronic device over the communications path. The extended display identification data may include a list of timing elements including display parameters such as a horizontal active pixel count, a vertical active pixel count, and a pixel clock. The electronic device may tag the timing elements with their type and may flag certain timing elements as being native to the display. A scoring function may then be used to rate each timing element. A scored list of timing elements may be sorted by score. The sorted scored list may be filtered to remove inappropriate timing elements. The electronic device may automatically use a selected one of the filtered timing elements in displaying information on the external display.

An arrangement for, and a method of, electro-optically reading a target by image capture, employ an aiming assembly for projecting an aiming light pattern on the target that is located within a range of working distances relative to a housing, an imaging assembly for capturing an image of the target and of the aiming light pattern over a field of view, and a controller for determining a distance of the target relative to the housing based on a position of the aiming light pattern in the captured image, for determining a scanning resolution based on the determined distance, for comparing the determined scanning resolution with a scanning resolution setting, and for processing the captured image based on the comparison.