David R Parks

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi A new "Logicle" display method avoids deceptive effects of logarithmic scaling for low signals and compensated data
    David R Parks
    Department of Genetics, Stanford University, California 94305, USA
    Cytometry A 69:541-51. 2006
  2. ncbi Modern flow cytometry: a practical approach
    James W Tung
    Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
    Clin Lab Med 27:453-68, v. 2007
  3. ncbi Identification of B-cell subsets: an exposition of 11-color (Hi-D) FACS methods
    James W Tung
    Department of Genetics, Stanford University Medical School, Stanford, CA, USA
    Methods Mol Biol 271:37-58. 2004
  4. ncbi Interpreting flow cytometry data: a guide for the perplexed
    Leonore A Herzenberg
    Department of Genetics, Stanford University School of Medicine, Stanford, California 94305-5318, USA
    Nat Immunol 7:681-5. 2006
  5. ncbi New approaches to fluorescence compensation and visualization of FACS data
    James W Tung
    Department of Genetics, Stanford University Medical School, Stanford, CA 94305 5120, USA
    Clin Immunol 110:277-83. 2004
  6. ncbi Update for the logicle data scale including operational code implementations
    Wayne A Moore
    Department of Genetics and Stanford Shared FACS Facility, Stanford University, Stanford, California 94305 5364, USA
    Cytometry A 81:273-7. 2012
  7. ncbi Guidelines for the presentation of flow cytometric data
    Mario Roederer
    Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
    Methods Cell Biol 75:241-56. 2004

Detail Information

Publications7

  1. ncbi A new "Logicle" display method avoids deceptive effects of logarithmic scaling for low signals and compensated data
    David R Parks
    Department of Genetics, Stanford University, California 94305, USA
    Cytometry A 69:541-51. 2006
    ....
  2. ncbi Modern flow cytometry: a practical approach
    James W Tung
    Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
    Clin Lab Med 27:453-68, v. 2007
    ..FACS technology development and the emergence of new software support for this technology are cooperating in this effort...
  3. ncbi Identification of B-cell subsets: an exposition of 11-color (Hi-D) FACS methods
    James W Tung
    Department of Genetics, Stanford University Medical School, Stanford, CA, USA
    Methods Mol Biol 271:37-58. 2004
    ..In addition, it facilitates discrimination of valid subsets. Application of Logicle visualization tools in the Hi-D FACS studies discussed here creates a strong new base for in-depth analysis of B-cell development and function...
  4. ncbi Interpreting flow cytometry data: a guide for the perplexed
    Leonore A Herzenberg
    Department of Genetics, Stanford University School of Medicine, Stanford, California 94305-5318, USA
    Nat Immunol 7:681-5. 2006
  5. ncbi New approaches to fluorescence compensation and visualization of FACS data
    James W Tung
    Department of Genetics, Stanford University Medical School, Stanford, CA 94305 5120, USA
    Clin Immunol 110:277-83. 2004
    ..Finally, we discuss controls that facilitate recognition of boundaries between positive and negative subsets...
  6. ncbi Update for the logicle data scale including operational code implementations
    Wayne A Moore
    Department of Genetics and Stanford Shared FACS Facility, Stanford University, Stanford, California 94305 5364, USA
    Cytometry A 81:273-7. 2012
  7. ncbi Guidelines for the presentation of flow cytometric data
    Mario Roederer
    Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
    Methods Cell Biol 75:241-56. 2004