910 research outputs found

    Imaging single cells in a beam of live cyanobacteria with an X-ray laser

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    Citation: van der Schot, G., Svenda, M., Maia, F., Hantke, M., DePonte, D. P., Seibert, M. M., . . . Ekeberg, T. (2015). Imaging single cells in a beam of live cyanobacteria with an X-ray laser. Nature Communications, 6, 9. doi:10.1038/ncomms6704There exists a conspicuous gap of knowledge about the organization of life at mesoscopic levels. Ultra-fast coherent diffractive imaging with X-ray free-electron lasers can probe structures at the relevant length scales and may reach sub-nanometer resolution on micron-sized living cells. Here we show that we can introduce a beam of aerosolised cyanobacteria into the focus of the Linac Coherent Light Source and record diffraction patterns from individual living cells at very low noise levels and at high hit ratios. We obtain two-dimensional projection images directly from the diffraction patterns, and present the results as synthetic X-ray Nomarski images calculated from the complex-valued reconstructions. We further demonstrate that it is possible to record diffraction data to nanometer resolution on live cells with X-ray lasers. Extension to sub-nanometer resolution is within reach, although improvements in pulse parameters and X-ray area detectors will be necessary to unlock this potential.Additional Authors: Almeida, N. F.;Odic, D.;Hasse, D.;Carlsson, G. H.;Larsson, D. S. D.;Barty, A.;Martin, A. V.;Schorb, S.;Bostedt, C.;Bozek, J. D.;Rolles, D.;Rudenko, A.;Epp, S.;Foucar, L.;Rudek, B.;Hartmann, R.;Kimmel, N.;Holl, P.;Englert, L.;Loh, N. T. D.;Chapman, H. N.;Andersson, I.;Hajdu, J.;Ekeberg, T

    Three-Dimensional Reconstruction of the Giant Mimivirus Particle with an X-Ray Free-Electron Laser

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    Citation: Ekeberg, T., Svenda, M., Abergel, C., Maia, F., Seltzer, V., Claverie, J. M., . . . Hajdu, J. (2015). Three-Dimensional Reconstruction of the Giant Mimivirus Particle with an X-Ray Free-Electron Laser. Physical Review Letters, 114(9), 6. doi:10.1103/PhysRevLett.114.098102We present a proof-of-concept three-dimensional reconstruction of the giant mimivirus particle from experimentally measured diffraction patterns from an x-ray free-electron laser. Three-dimensional imaging requires the assembly of many two-dimensional patterns into an internally consistent Fourier volume. Since each particle is randomly oriented when exposed to the x-ray pulse, relative orientations have to be retrieved from the diffraction data alone. We achieve this with a modified version of the expand, maximize and compress algorithm and validate our result using new methods.Additional Authors: Andersson, I.;Loh, N. D.;Martin, A. V.;Chapman, H.;Bostedt, C.;Bozek, J. D.;Ferguson, K. R.;Krzywinski, J.;Epp, S. W.;Rolles, D.;Rudenko, A.;Hartmann, R.;Kimmel, N.;Hajdu, J

    The XMM Cluster Survey: X-ray analysis methodology

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    The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims are to measure cosmological parameters and trace the evolution of X-ray scaling relations. In this paper we describe the data processing methodology applied to the 5,776 XMM observations used to construct the current XCS source catalogue. A total of 3,675 > 4-sigma cluster candidates with > 50 background-subtracted X-ray counts are extracted from a total non-overlapping area suitable for cluster searching of 410 deg^2. Of these, 993 candidates are detected with > 300 background-subtracted X-ray photon counts, and we demonstrate that robust temperature measurements can be obtained down to this count limit. We describe in detail the automated pipelines used to perform the spectral and surface brightness fitting for these candidates, as well as to estimate redshifts from the X-ray data alone. A total of 587 (122) X-ray temperatures to a typical accuracy of < 40 (< 10) per cent have been measured to date. We also present the methodology adopted for determining the selection function of the survey, and show that the extended source detection algorithm is robust to a range of cluster morphologies by inserting mock clusters derived from hydrodynamical simulations into real XMM images. These tests show that the simple isothermal beta-profiles is sufficient to capture the essential details of the cluster population detected in the archival XMM observations. The redshift follow-up of the XCS cluster sample is presented in a companion paper, together with a first data release of 503 optically-confirmed clusters.Comment: MNRAS accepted, 45 pages, 38 figures. Our companion paper describing our optical analysis methodology and presenting a first set of confirmed clusters has now been submitted to MNRA

    Detection of x ray sources in PROS

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    The problem of detecting discrete sources in x-ray images has much in common with the problem of automatic source detection at other wavelengths. In all cases, one searches for positive brightness enhancements exceeding a certain threshold, which appear consistent with what one expects for a point source, in the presence of a (possibly) spatially variable background. Multidimensional point spread functions (e.g., dependent on detector position and photon energy) are also common. At the same time, the problem in x-ray astronomy has some unique aspects. For example, for typical x-ray exposures in current or recent observatories, the number of available pixels far exceeds the number of actual x-ray events, so Poisson, rather than Gaussian statistics apply. Further, extended cosmic x-ray sources are common, and one often desires to detect point sources in the vicinity or even within bright, diffuse x-ray emission. Finally, support structures in x-ray detectors often cast sharp shadows in x-ray images making it necessary to detect sources in a region of rapidly varying exposure. We have developed a source detection package within the IRAF/PROS environment which attempts to deal with some of the problems of x-ray source detection. We have patterned our package after the successful Einstein Observatory x-ray source detection programs. However, we have attempted to improve the flexibility and accessibility of the functions and to provide a graphical front-end for the user. Our philosophy has been to use standard IRAF tasks whenever possible for image manipulation and to separate general functions from mission-specific ones. We will report on the current status of the package and discuss future developments, including simulation tasks, to allow the user to assess detection efficiency and source significance, tasks to determine source intensity, and alternative detection algorithms

    HUMAN RESOURCE DEVELOPMENT PROFESSIONALS’ COMPETENCIES AND CAREER SUCCESS IN THE SERVICE INDUSTRY: A QUALITATIVE STUDY

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    The purpose of this study was to explore HRD professionals’ competencies leading to career success through an examination of their lived experiences of working in the service industry and to provide implications for HRD research and practice. Two research questions guiding this inquiry included: How do HRD professionals in the service industry experience career success? And how do HRD professionals in the service industry define and experience competencies leading to career success? To answer the two research questions, I conducted semi-structured interviews with 20 HRD professionals in the service industry. I then transcribed and coded the interview data and identified six themes including: (1) defining and experiencing career success through affect; (2) defining and experiencing career success as contribution to others; (3) defining and experiencing competency as KSAs and other attributes (e.g., capabilities, attitudes, values); (4) using the competency of relationship-building through trust and effective communication to define and experience career success; (5) implementing the competency of agility to define and experience career success; and (6) creating a unique competency mix by developing expert knowledge to define and experience career success. The study findings emphasize the need for HRD practitioners to become exemplars in their field, build credibility, be full organizational members who are credible, and develop unique competencies distinctive to their role. Future research should be conducted on HRD professionals’ perceptions of career success in the service industry. Further, given how emotional the topic of career success was to participants, scholars should explore the emotional well-being of HRD professionals. This study is limited to online interviews that were conducted because of interview participants’ busy schedule. Future research is called on to conduct in-person interviews, with the benefit of bodily presence, to collect richer data. For the sake of triangulation, I suggest adding multiple data collection methods such as observation, document review, and survey

    FELIX: an algorithm for indexing multiple crystallites in X-ray free-electron laser snapshot diffraction images

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    A novel algorithm for indexing multiple crystals in snapshot X-ray diffraction images, especially suited for serial crystallography data, is presented. The algorithm, FELIX, utilizes a generalized parametrization of the Rodrigues–Frank space, in which all crystal systems can be represented without singularities. The new algorithm is shown to be capable of indexing more than ten crystals per image in simulations of cubic, tetragonal and monoclinic crystal diffraction patterns. It is also used to index an experimental serial crystallography dataset from lysozyme microcrystals. The increased number of indexed crystals is shown to result in a better signal-to-noise ratio, and fewer images are needed to achieve the same data quality as when indexing one crystal per image. The relative orientations between the multiple crystals indexed in an image show a slight tendency of the lysozme microcrystals to adhere on (110)(\overline {1}10) facets
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