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1.
  • Uhlén, Mathias, et al. (författare)
  • A human protein atlas for normal and cancer tissues based on antibody proteomics
  • 2005
  • Ingår i: Molecular & Cellular Proteomics. - 1535-9476 .- 1535-9484. ; 4:12, s. 1920-1932
  • Tidskriftsartikel (refereegranskat)abstract
    • Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers. Here we report a new publicly available database containing, in the first version, similar to 400,000 high resolution images corresponding to more than 700 antibodies toward human proteins. Each image has been annotated by a certified pathologist to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues. Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research.
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2.
  • Strömberg, Sara, et al. (författare)
  • A high-throughput strategy for protein profiling in cell microarrays using automated image analysis
  • 2007
  • Ingår i: Proteomics. - : Wiley. - 1615-9853 .- 1615-9861. ; 7:13, s. 2142-2150
  • Tidskriftsartikel (refereegranskat)abstract
    • Advances in antibody production render a growing supply of affinity reagents for immunohistochemistry (IHC), and tissue microarray (TMA) technologies facilitate simultaneous analysis of protein expression in a multitude of tissues. However, collecting validated IHC data remains a bottleneck problem, as the standard method is manual microscopical analysis. Here we present a high-throughput strategy combining IHC on a recently developed cell microarray with a novel, automated image-analysis application (TMAx). The software was evaluated on 200 digital images of IHC-stained cell spots, by comparing TMAx annotation with manual annotation performed by seven human experts. A high concordance between automated and manual annotation of staining intensity and fraction of IHC-positive cells was found. in a limited study, we also investigated the possibility to assess the correlation between mRNA and protein levels, by using TMAx output results for relative protein quantification and quantitative real-time PCR for the quantification of corresponding transcript levels. In conclusion, automated analysis of immunohistochemically stained in vitro-cultured cells in a microarray format can be used for high-throughput protein profiling, and extraction of RNA from the same cell lines provides a basis for comparing transcription and protein expression on a global scale.
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3.
  • Abu Sa'a, Ehab, et al. (författare)
  • Enabling knowledge sharing in university-cross-industry competence centres
  • 2023
  • Ingår i: Proceedings of European Academy of Management (EURAM) 2023. - Dublin, Ireland.
  • Konferensbidrag (refereegranskat)abstract
    • University competence centres (UCCs) are created to enhance university-industry collaboration and knowledge sharing among collaborating partners. This study investigates the organisation of knowledge sharing among firms in UCCs through a qualitative case study of UCCs with or without a focus on research in their activities. Data collection was done through interviews and observations over a period of 24 months. While the findings indicate that both types of UCCs are non-neutral, they also reveal several different characteristics that appear primarily based on a strong tie either to the first (education) or the second (research) mission of academia. Although both types of UCCs act to build a common meaning among participating organisations, the focus on the first or the second mission leads to this meaning is primarily being constructed in the firm-to-firm or university-to-firm interfaces, respectively. Whereas cross-industry knowledge sharing is emphasised by both types of centres, it is thus more strongly emphasised by UCCs without a focus on research as it helps to avoid harmful effects of knowledge spillovers. The focus on the first mission also appears able to sustain the organisation of knowledge ecosystems created by UCCs without a focus on research in a prefigurative form, which is otherwise typically transient. Furthermore, the challenges to sustainability are different, with centres focused on research being pre-occupied with funding issues, while centres not focused on research leveraging on others means to maintain the interest of industry. The findings contribute to innovation management research and practice by refining current understanding of processes and practices of university-industry collaboration, and how they contribute to facilitate (cross-industry) collaboration and knowledge transfer. Given that university-industry collaboration is often promoted in national innovation policies to create value for society as whole, our findings contribute towards enabling organisations, managers as well as governments to take more informed actions when engaging in such collaborations.
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4.
  • Abu Sa'a, Ehab, et al. (författare)
  • University-industry collaboration enabling cross-industry knowledge sharing
  • 2023
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Cross-industry knowledge sharing is a dynamic phenomenon that can thrive at the intersection of academia and industry. Through a qualitative case study of research-centric and network-focused university-industry collaboration (UIC), this study delves into the intricate interplay of structural social capital within UIC and its role in enabling cross-industry knowledge sharing. Data collection was done through interviews and observations over a period of 24 months. Our findings underscore the multifaceted nature of cross-industry knowledge sharing, revealing that it is influenced by the specific focus of UIC structures. In UIC with a research-centric orientation, formal and structured coordination activities prevail. Here, academia leads the way, cultivating shared norms based on academic logic. Cognitive social capital, built through knowledge abstraction, is coopted to facilitate cross-industry knowledge sharing. These collaborations are driven by the imperative for publishable results and align with academia's research agenda. Conversely, UICs emphasizing networking and relationships foster informal structural social capital. Academic involvement is less pronounced, and knowledge sharing occurs through unstructured, informal interactions. Cross-industry knowledge sharing in these settings is more context-specific, potentially requiring less effort for application but following a less structured knowledge transfer process. Research-oriented UIC face challenges regarding long-term relationships due to the finite nature of public funding, while networking-focused UIC grapple with academic disengagement tied to research funding. Nonetheless, they find innovative ways to endure, such as realizing the importance to engage industrial representatives. This study advances our understanding of cross-industry knowledge sharing by elucidating how the structural social capital within UICs shapes the dynamics of knowledge transfer. It highlights the importance of considering the orientation and focus of UICs when harnessing their potential for cross-industry knowledge sharing, offering valuable insights for policymakers and strategists in the public-private interface.
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5.
  • Ahlberg, Carl, et al. (författare)
  • GIMME - A General Image Multiview Manipulation Engine
  • 2011
  • Ingår i: Proceedings of the International Conference on ReConFigurable Computing and FPGAs (ReConFig 2011). - Los Alamitos, Calif : IEEE Computer Society. - 9780769545516
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents GIMME (General Image Multiview Manipulation Engine), a highly flexible reconfigurable stand-alone mobile two-camera vision platform with stereo-vision capability. GIMME relies on reconfigurable hardware (FPGA) to perform application-specific low to medium-level image-processing at video rate. The Qseven-extension enables additional processing power. Thanks to its compact design, low power consumption and standardized interfaces (power and communication), GIMME is an ideal vision platform for autonomous and mobile robot applications.
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6.
  • Ahlberg, Carl, et al. (författare)
  • GIMME2 - An embedded system for stereo vision and processing of megapixel images with FPGA-acceleration
  • 2015
  • Ingår i: 2015 International Conference on ReConFigurable Computing and FPGAs, ReConFig 2015. - 9781467394062
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents GIMME2, an embedded stereovision system, designed to be compact, power efficient, cost effective, and high performing in the area of image processing. GIMME2 features two 10 megapixel image sensors and a Xilinx Zynq, which combines FPGA-fabric with a dual-core ARM CPU on a single chip. This enables GIMME2 to process video-rate megapixel image streams at real-time, exploiting the benefits of heterogeneous processing.
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7.
  • Ahlberg, Carl, et al. (författare)
  • The Black Pearl: An Autonomous Underwater Vehicle
  • 2013
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • The Black Pearl is a custom made autonomous underwater vehicle developed at Mälardalen University, Sweden. It is built in a modular fashion, including its mechanics, electronics and software. After a successful participation at the RoboSub competition in 2012 and winning the prize for best craftsmanship, this year we made minor improvements to the hardware, while the focus of the robot's evolution shifted to the software part. In this paper we give an overview of how the Black Pearl is built, both from the hardware and software point of view.
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8.
  • Alam, Assad, et al. (författare)
  • Cooperative driving according to Scoop
  • 2011
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • KTH Royal Institute of Technology and Scania are entering the GCDC 2011 under the name Scoop –Stockholm Cooperative Driving. This paper is an introduction to their team and to the technical approach theyare using in their prototype system for GCDC 2011.
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9.
  • Andersson, Sandra, et al. (författare)
  • Antibodies Biotinylated Using a Synthetic Z-domain from Protein A Provide Stringent In Situ Protein Detection
  • 2013
  • Ingår i: Journal of Histochemistry and Cytochemistry. - : SAGE Publications. - 0022-1554 .- 1551-5044. ; 61:11, s. 773-784
  • Tidskriftsartikel (refereegranskat)abstract
    • Antibody-based protein profiling on a global scale using immunohistochemistry constitutes an emerging strategy for mapping of the human proteome, which is crucial for an increased understanding of biological processes in the cell. Immunohistochemistry is often performed indirectly using secondary antibodies for detection, with the benefit of signal amplification. Direct immunohistochemistry instead brings the advantage of multiplexing; however, it requires labeling of the primary antibody. Many antibody-labeling kits do not specifically target IgG and may therefore cause labeling of stabilizing proteins present in the antibody solution. A new conjugation method has been developed that utilizes a modified Z-domain of protein A (ZBPA) to specifically target the Fc part of antibodies. The aim of the present study was to compare the ZBPA conjugation method and a commercially available labeling kit, Lightning-Link, for in situ protein detection. Fourteen antibodies were biotinylated with each method and stained using immunohistochemistry. For all antibodies tested, ZBPA biotinylation resulted in distinct immunoreactivity without off-target staining, regardless of the presence of stabilizing proteins in the buffer, whereas the majority of the Lightning-Link biotinylated antibodies displayed a characteristic pattern of nonspecific staining. We conclude that biotinylated ZBPA domain provides a stringent method for antibody biotinylation, advantageous for in situ protein detection in tissues.
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10.
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