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Under the right circumstances, electrons can actually “freeze” into a bizarre solid form. Now, physicists at Berkeley Lab have created and taken the first ever direct images of this structure.

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Category: Physics, Science

Tags: Electron Microscopes, Electrons, Matter, UC Berkeley, University of California Berkeley, Lawrence Berkeley National Laboratory, Materials

WhatsApp is testing a reverse image search feature on the web, allowing users to quickly verify the origin and authenticity of received images. Alongside this, WhatsApp is adding a shortcut to the photo gallery for easier access.

Join Michael as he talks about how to capture and protect our mind from the world of false images we live in, and how doing so also supports our mental, physical and spiritual health.

If you go into a pilgrimage with humility and the belief that you understand very little—if anything—then by the end of it, something may be revealed to you beyond your own limitations.

We profess a faith grounded in the truth and testimony of icons. But has the barrage of secular imagery diluted our witness? Fr. Steven explores the issue of discernment in an age that thrives on images

Fr. Tom discusses St. Paul's exhortation to have nothing to do with idols. Idols bring a communion of death, while the Divine Image of God destroys death and brings life.

Due to both the widespread and multipurpose use of document images and the current availability of a high number of document images repositories, robust information retrieval mechanisms and systems have been increasingly demanded. This paper presents an approach to support the automatic generation of relationships among document images by exploiting Latent Semantic Indexing (LSI) and Optical Character Recognition (OCR). We developed the LinkDI (Linking of Document Images) service, which extracts and indexes document images content, computes its latent semantics, and defines relationships among images as hyperlinks. LinkDI was experimented with document images repositories, and its performance was evaluated by comparing the quality of the relationships created among textual documents as well as among their respective document images. Considering those same document images, we ran further experiments in order to compare the performance of LinkDI when it exploits or not the LSI technique. Experimental results showed that LSI can mitigate the effects of usual OCR misrecognition, which reinforces the feasibility of LinkDI relating OCR output with high degradation.

In the present scenario, the security of medical images is an important aspect in the field of image processing. Support vector machines (SVMs) are a supervised machine learning technique used in image classification. The roots of SVM are from statistical learning theory. It has gained excellent significance because of its robust, accurate, and very effective algorithm, even though it was applied to a small set of training samples. SVM can classify data into binary classification or multiple classifications according to the application's needs. Discrete wavelet transform (DWT) and singular value decomposition (SVD) transform techniques are utilised to enhance the image's security. In this paper, the image is first classified using SVM into ROI and RONI, and thereafter, to enhance the images diagnostic capabilities, the DWT-SVD-based hybrid watermarking technique is utilised to embed the watermark in the RONI region. Overall, our work makes a significant contribution to the field of medical image security by presenting a novel and effective solution. The results are evaluated using both perceptual and imperceptibility testing using PSNR and SSIM parameters. Different attacks were introduced to the watermarked image, which shows the efficacy and robustness of the proposed algorithm.

Breast cancer is leading cause of mortality among women compared to other types of cancers. Hence, early breast cancer diagnosis is crucial to the success of treatment. Various pathological and imaging tests are available for the diagnosis of breast cancer. However, it may introduce errors during detection and interpretation, leading to false-negative and false-positive results due to lack of pre-processing of it. To overcome this issue, we proposed a effective image pre-processing technique-based on Otsu's thresholding and single-seeded region growing (SSRG) to remove artefacts and segment the pectoral muscle from breast mammograms. To validate the proposed method, a publicly available MIAS dataset was utilised. The experimental finding showed that proposed technique improved 18% breast cancer detection accuracy compared to existing methods. The proposed methodology works efficiently for artefact removal and pectoral segmentation at different shapes and nonlinear patterns.

This work demonstrates a hybrid deep learning (DL) model for lung cancer (LC) detection using CT images. Firstly, the input image is passed to the pre-processing stage, where the input image is filtered using a BF and the obtained filtered image is subjected to lung lobe segmentation, where segmentation is done using squeeze U-SegNet. Feature extraction is performed, where features including entropy with fuzzy local binary patterns (EFLBP), local optimal oriented pattern (LOOP), and grey level co-occurrence matrix (GLCM) features are mined. After completing the extracting of features, LC is detected utilising the hybrid efficient-ShuffleNet (HES-Net) method, wherein the HES-Net is established by the incorporation of EfficientNet and ShuffleNet. The presented HES-Net for LC detection is investigated for its performance concerning TNR, and TPR, and accuracy is established to have acquired values of 92.1%, 93.1%, and 91.3%.

In our new tutorial we will teach you how to change predefined images dimensions in your Shopify store.

The post Shopify. How to change predefined images dimensions appeared first on Template Monster Help.

The discipline of taxonomy is highly reliant on previously published photographs, drawings and other images as biodiversity data. Inspired by the uncertainty among taxonomists, a team, representing both taxonomists and experts in rights and copyright law, has traced the role and relevance of copyright when it comes to images with scientific value. Their discussion and conclusions are published in the latest paper added in the EU BON Collection in the open science journal Research Ideas and Outcomes (RIO).

Taxonomic papers, by definition, cite a large number of previous publications, for instance, when comparing a new species to closely related ones that have already been described. Often it is necessary to use images to demonstrate characteristic traits and morphological differences or similarities. In this role, the images are best seen as biodiversity data rather than artwork. According to the authors, this puts them outside the scope, purposes and principles of Copyright. Moreover, such images are most useful when they are presented in a standardized fashion, and lack the artistic creativity that would otherwise make them 'copyrightable works'.

"It follows that most images found in taxonomic literature can be re-used for research or many other purposes without seeking permission, regardless of any copyright declaration," says Prof. David J. Patterson, affiliated with both Plazi and the University of Sydney.

Nonetheless, the authors point out that, "in observance of ethical and scholarly standards, re-users are expected to cite the author and original source of any image that they use." Such practice is "demanded by the conventions of scholarship, not by legal obligation," they add.

However, the authors underline that there are actual copyrightable visuals, which might also make their way to a scientific paper. These include wildlife photographs, drawings and artwork produced in a distinctive individual form and intended for other than comparative purposes, as well as collections of images, qualifiable as databases in the sense of the European Protection of Databases directive.

In their paper, the scientists also provide an updated version of the Blue List, originally compiled in 2014 and comprising the copyright exemptions applicable to taxonomic works. In their Extended Blue List, the authors expand the list to include five extra items relating specifically to images.

"Egloff, Agosti, et al. make the compelling argument that taxonomic images, as highly standardized 'references for identification of known biodiversity,' by necessity, lack sufficient creativity to qualify for copyright. Their contention that 'parameters of lighting, optical and specimen orientation' in biological imaging must be consistent for comparative purposes underscores the relevance of the merger doctrine for photographic works created specifically as scientific data," comments on the publication Ms. Gail Clement, Head of Research Services at the Caltech Library.

"In these cases, the idea and expression are the same and the creator exercises no discretion in complying with an established convention. This paper is an important contribution to the literature on property interests in scientific research data - an essential framing question for legal interoperability of research data," she adds.

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Original source:

Egloff W, Agosti D, Kishor P, Patterson D, Miller J (2017) Copyright and the Use of Images as Biodiversity Data. Research Ideas and Outcomes 3: e12502. https://doi.org/10.3897/rio.3.e12502

[Science] :
Two U.S. experts who inspected North Korea’s uranium enrichment facility at the Yongbyon nuclear complex in 2010 have analyzed recent images of a similar facility in the North and pointed out differences.  Stanford University professor emeritus Siegfried Hecker and Robert Carlin, a scholar at the ...

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X-ray ptychography is a coherent diffraction imaging technique based on acquiring multiple diffraction patterns obtained through the illumination of the sample at different partially overlapping probe positions. The diffraction patterns collected are used to retrieve the complex transmittivity function of the sample and the probe using a phase retrieval algorithm. Absorption or phase contrast images of the sample as well as the real and imaginary parts of the probe function can be obtained. Furthermore, X-ray ptychography can also provide spectral information of the sample from absorption or phase shift images by capturing multiple ptychographic projections at varying energies around the resonant energy of the element of interest. However, post-processing of the images is required to extract the spectra. To facilitate this, ProSPyX, a Python package that offers the analysis tools and a graphical user interface required to process spectral ptychography datasets, is presented. Using the PyQt5 Python open-source module for development and design, the software facilitates extraction of absorption and phase spectral information from spectral ptychographic datasets. It also saves the spectra in file formats compatible with other X-ray absorption spectroscopy data analysis software tools, streamlining integration into existing spectroscopic data analysis pipelines. To illustrate its capabilities, ProSPyX was applied to process the spectral ptychography dataset recently acquired on a nickel wire at the SWING beamline of the SOLEIL synchrotron.

Signal-to-noise ratio and spatial resolution are quantitatively analysed in the context of in-line (propagation based) X-ray phase-contrast imaging. It is known that free-space propagation of a coherent X-ray beam from the imaged object to the detector plane, followed by phase retrieval in accordance with Paganin's method, can increase the signal-to-noise in the resultant images without deteriorating the spatial resolution. This results in violation of the noise-resolution uncertainty principle and demonstrates `unreasonable' effectiveness of the method. On the other hand, when the process of free-space propagation is performed in software, using the detected intensity distribution in the object plane, it cannot reproduce the same effectiveness, due to the amplification of photon shot noise. Here, it is shown that the performance of Paganin's method is determined by just two dimensionless parameters: the Fresnel number and the ratio of the real decrement to the imaginary part of the refractive index of the imaged object. The relevant theoretical analysis is performed first, followed by computer simulations and then by a brief test using experimental images collected at a synchrotron beamline. More extensive experimental tests will be presented in the second part of this paper.

The phase problem in the context of focusing synchrotron beams with X-ray lenses is addressed. The feasibility of retrieving the surface error of a lens system by using only the intensity of the propagated beam at several distances is demonstrated. A neural network, trained with a few thousand simulations using random errors, can predict accurately the lens error profile that accounts for all aberrations. It demonstrates the feasibility of routinely measuring the aberrations induced by an X-ray lens, or another optical system, using only a few intensity images.

Macromolecular crystallography contributes significantly to understanding diseases and, more importantly, how to treat them by providing atomic resolution 3D structures of proteins. This is achieved by collecting X-ray diffraction images of protein crystals from important biological pathways. Spotfinders are used to detect the presence of crystals with usable data, and the spots from such crystals are the primary data used to solve the relevant structures. Having fast and accurate spot finding is essential, but recent advances in synchrotron beamlines used to generate X-ray diffraction images have brought us to the limits of what the best existing spotfinders can do. This bottleneck must be removed so spotfinder software can keep pace with the X-ray beamline hardware improvements and be able to see the weak or diffuse spots required to solve the most challenging problems encountered when working with diffraction images. In this paper, we first present Bragg Spot Detection (BSD), a large benchmark Bragg spot image dataset that contains 304 images with more than 66 000 spots. We then discuss the open source extensible U-Net-based spotfinder Bragg Spot Finder (BSF), with image pre-processing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. Finally, we perform experiments on the BSD benchmark and obtain results that are (in terms of accuracy) comparable to or better than those obtained with two popular spotfinder software packages (Dozor and DIALS), demonstrating that this is an appropriate framework to support future extensions and improvements.

Here, a morphologically based approach is used for the in situ characterization of 3D growth rates of facetted crystals from the solution phase. Crystal images of single crystals of the β-form of l-glutamic acid are captured in situ during their growth at a relative supersaturation of 1.05 using transmission optical microscopy. The crystal growth rates estimated for both the {101} capping and {021} prismatic faces through image processing are consistent with those determined using reflection light mode [Jiang, Ma, Hazlehurst, Ilett, Jackson, Hogg & Roberts (2024). Cryst. Growth Des. 24, 3277–3288]. The growth rate in the {010} face is, for the first time, estimated from the shadow widths of the {021} prismatic faces and found to be typically about half that of the {021} prismatic faces. Analysis of the 3D shape during growth reveals that the initial needle-like crystal morphology develops during the growth process to become more tabular, associated with the Zingg factor evolving from 2.9 to 1.7 (>1). The change in relative solution supersaturation during the growth process is estimated from calculations of the crystal volume, offering an alternative approach to determine this dynamically from visual observations.

Hotimage.ai offers a fresh and innovative avenue for artists to delve into fantasy themes

Japplis introduces a new desktop application that aims to speed up the selection of the best images when generating a lot of AI images.

Weather Photographer, Winner: Sprites Dancing in the Dark Night by Wang Xin The Royal Meteorological Society has announced the 2024 winners of the Standard Chartered Weather Photographer of the Year Awards, featuring breathtaking images of weather phenomena worldwide. The top prize went to Wang Xin from Shanghai for the photograph “Sprites Dancing in the Dark […]

Grand Prize: “Bengal Tigers” by Mangesh Ratnakar Desai, India The 2024 Nature’s Best Photography International Awards highlighted breathtaking moments from around the globe, celebrating photographers who captured the beauty and power of Earth’s diverse ecosystems. From sweeping landscapes to intimate wildlife portraits, the award-winning images showcase nature’s grandeur and fragility, inspiring deeper appreciation and awareness […]

Le film Dune de Denis Villeneuve a remporté six statuettes le 24 mars à 94e cérémonie des Oscars. Un franc succès pour ce film monumental avec Timothée Chalamet et Zendaya à l’affiche. Adaptation du roman fleuve de Franck Herbert de 1965, le film de science-fiction remporte les prix du Meilleur montage, Meilleure musique originale, Meilleur son, […]

Hey there, fellow design enthusiasts! I've got something super cool to share with you today. You know those grungy, vintage-looking textures that make your ...

If you haven’t used Adobe’s brand-new Enhance feature yet, I urge you to give it...

The post Create Better Images with Enhance and Super Resolution appeared first on Alphatracks.

MC Rokkor 58mm f/1.4 Sample Images The following images are representative of the type of...

The post MC Rokkor 58mm f/1.4 Sample Images appeared first on Alphatracks.

Image piracy is a real issue that affects all photographers who publish their work online. Having to deal with issues such as image theft is a source of frustration for many. Thankfully, Google Images licensable badge ushers in new opportunities for photographers to capture referrals and sales directly from Google Images searchers. For years, the […]

How did stars form 7 billion years ago, or approximately halfway between the Big Bang and now? This is what a recent study published in the Monthly Notices

How did stars form 7 billion years ago, or approximately halfway between the Big Bang and now? This is what a recent study published in the Monthly Notices

How did stars form 7 billion years ago, or approximately halfway between the Big Bang and now? This is what a recent study published in the Monthly Notices

Satellite images show devastation in Sudan 1 year since conflict began (ABC News)

"Satellite imagery shows the reduction in green vegetation cover, the increased aridity points to the neglect or destruction of previously irrigated fields” Oliver Kirui told ABC News.

The post Satellite images show devastation in Sudan 1 year since conflict began (ABC News) appeared first on IFPRI.

NOTE: Video and images at uoft.me/sparklingTORONTO – A team of scientists from the University of Toronto and Manchester University in the United Kingdom have gone three kilometres beneath the surface of the Canadian Shield to find some of the oldest fluids in our planet’s history. The waters are rich in clues about lives lived without […]

I found a great resource by Joyce Valenza on Never Ending Search that I wanted to share with you. In her post, Google search by usage rights, she demonstrates an easy way to find copyright-friendly images on Google Image Search.

First, enter your search term into Google Images and then click on Search Tools and then Usage Rights.