Frederick Klauschen

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. ncbi Computational reconstruction of cell and tissue surfaces for modeling and data analysis
    Frederick Klauschen
    Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
    Nat Protoc 4:1006-12. 2009
  2. ncbi Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis
    Masaru Ishii
    Lymphocyte Biology Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892 1892, USA
    Nature 458:524-8. 2009
  3. ncbi Quantifying cellular interaction dynamics in 3D fluorescence microscopy data
    Frederick Klauschen
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
    Nat Protoc 4:1305-11. 2009
  4. ncbi Multiscale modeling for biologists
    Martin Meier-Schellersheim
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
    Wiley Interdiscip Rev Syst Biol Med 1:4-14. 2009
  5. ncbi Evaluation of automated brain MR image segmentation and volumetry methods
    Frederick Klauschen
    Department of Biomedicine, University of Bergen, Norway
    Hum Brain Mapp 30:1310-27. 2009
  6. ncbi Computational modeling of cellular signaling processes embedded into dynamic spatial contexts
    Bastian R Angermann
    Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
    Nat Methods 9:283-9. 2012
  7. ncbi Computational modeling of signaling networks for eukaryotic chemosensing
    Martin Meier-Schellersheim
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
    Methods Mol Biol 571:507-26. 2009
  8. ncbi Quantification of lymph node transit times reveals differences in antigen surveillance strategies of naive CD4+ and CD8+ T cells
    Judith N Mandl
    Lymphocyte Biology Section, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
    Proc Natl Acad Sci U S A 109:18036-41. 2012
  9. ncbi SAP-controlled T-B cell interactions underlie germinal centre formation
    Hai Qi
    Lymphocyte Biology Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
    Nature 455:764-9. 2008

Collaborators

Detail Information

Publications9

  1. ncbi Computational reconstruction of cell and tissue surfaces for modeling and data analysis
    Frederick Klauschen
    Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
    Nat Protoc 4:1006-12. 2009
    ..Processing time is of the order of minutes depending on data features and reconstruction parameters...
  2. ncbi Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis
    Masaru Ishii
    Lymphocyte Biology Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892 1892, USA
    Nature 458:524-8. 2009
    ....
  3. ncbi Quantifying cellular interaction dynamics in 3D fluorescence microscopy data
    Frederick Klauschen
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
    Nat Protoc 4:1305-11. 2009
    ....
  4. ncbi Multiscale modeling for biologists
    Martin Meier-Schellersheim
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
    Wiley Interdiscip Rev Syst Biol Med 1:4-14. 2009
    ..We also show that current modeling software permits building and simulating multiscale models without having to become involved with the underlying technical details of computational modeling...
  5. ncbi Evaluation of automated brain MR image segmentation and volumetry methods
    Frederick Klauschen
    Department of Biomedicine, University of Bergen, Norway
    Hum Brain Mapp 30:1310-27. 2009
    ....
  6. ncbi Computational modeling of cellular signaling processes embedded into dynamic spatial contexts
    Bastian R Angermann
    Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
    Nat Methods 9:283-9. 2012
    ..The modeling algorithms, implemented in a new version of the Simmune toolset, are accessible through intuitive graphical interfaces and programming libraries...
  7. ncbi Computational modeling of signaling networks for eukaryotic chemosensing
    Martin Meier-Schellersheim
    Program in Systems Immunology and Infectious Disease Modeling, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, USA
    Methods Mol Biol 571:507-26. 2009
    ....
  8. ncbi Quantification of lymph node transit times reveals differences in antigen surveillance strategies of naive CD4+ and CD8+ T cells
    Judith N Mandl
    Lymphocyte Biology Section, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
    Proc Natl Acad Sci U S A 109:18036-41. 2012
    ....
  9. ncbi SAP-controlled T-B cell interactions underlie germinal centre formation
    Hai Qi
    Lymphocyte Biology Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
    Nature 455:764-9. 2008
    ..These results offer an explanation for the germinal centre defect due to SAP deficiency and provide new insights into the bi-directional communication between cognate T and B cells in vivo...