Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi‐instrument compatible probability state model
暂无分享,去创建一个
C. Bruce Bagwell | Benjamin C. Hunsberger | Bruce H. Davis | C. B. Bagwell | B. Davis | Beth L. Hill | B. Hunsberger | Linda Wong | Adam D. Curtis | L. Wong | Adam Curtis | Benjamin C. Hunsberger
[1] P. Venge,et al. Neutrophil CD64 (FcγRI) expression is a specific marker of bacterial infection: A study on the kinetics and the impact of major surgery , 2007, Scandinavian journal of infectious diseases.
[2] V. Maino,et al. Probability state modeling of memory CD8⁺ T-cell differentiation. , 2013, Journal of immunological methods.
[3] B. Davis. Improved diagnostic approaches to infection/sepsis detection , 2005, Expert review of molecular diagnostics.
[4] C. Kallenberg,et al. Leukocyte activation in sepsis; correlations with disease state and mortality , 2000, Intensive Care Medicine.
[5] A. Porwit,et al. Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part III – analytical issues , 2013, Cytometry. Part B, Clinical cytometry.
[6] J. Cid,et al. Neutrophil CD64: diagnostic accuracy and prognostic value in patients presenting to the emergency department , 2011, European Journal of Clinical Microbiology & Infectious Diseases.
[7] William G. Finn,et al. Beyond gating: capturing the power of flow cytometry. , 2009, American journal of clinical pathology.
[8] A. Deodhar,et al. Neutrophil CD64 expression: distinguishing acute inflammatory autoimmune disease from systemic infections , 2002, Annals of the rheumatic diseases.
[9] Mario Roederer,et al. A chromatic explosion: the development and future of multiparameter flow cytometry , 2008, Immunology.
[10] C Bruce Bagwell,et al. Breaking the dimensionality barrier. , 2011, Methods in molecular biology.
[11] M. Kızılgün,et al. Predictive values of neutrophil CD64 expression compared with interleukin‐6 and C‐reactive protein in early diagnosis of neonatal sepsis , 2010, Journal of clinical laboratory analysis.
[12] C. Roussos,et al. Neutrophil CD64 expression and serum IL-8: sensitive early markers of severity and outcome in sepsis. , 2006, Cytokine.
[13] F. Massin,et al. Combination biomarkers to diagnose sepsis in the critically ill patient. , 2012, American journal of respiratory and critical care medicine.
[14] J. Hoffmann. Neutrophil CD64 as a sepsis biomarker. , 2011, Biochemia medica.
[15] E. Bell,et al. Evaluation of neutrophilic CD64, interleukin 10 and procalcitonin as diagnostic markers of early- and late-onset neonatal sepsis , 2010, Scandinavian journal of infectious diseases.
[16] D. Herbert,et al. Automated analysis of flow cytometric data for CD34+ stem cell enumeration using a probability state model , 2012, Cytometry. Part B, Clinical cytometry.
[17] M. Kalmanti,et al. CD64-Neutrophil expression and stress metabolic patterns in early sepsis and severe traumatic brain injury in children , 2013, BMC Pediatrics.
[18] C Bruce Bagwell,et al. Automated analysis of GPI‐deficient leukocyte flow cytometric data using GemStone™ , 2012, Cytometry. Part B, Clinical cytometry.
[19] Bruce H. Davis,et al. Validation of Cell-based Fluorescence Assays: Practice Guidelines from the ICSH and ICCS - Part II - Preanalytical Issues , 2013 .
[20] C. Bruce Bagwell,et al. Probability State Modeling: A New Paradigm for Cytometric Analysis , 2010 .
[21] Geng Li,et al. Neutrophil CD64 Is a Sensitive Diagnostic Marker for Early-Onset Neonatal Infection , 2004, Pediatric Research.
[22] B H Davis,et al. Automated quantitation of fetomaternal hemorrhage by flow cytometry for HbF‐containing fetal red blood cells using probability state modeling , 2013, International journal of laboratory hematology.
[23] A. Ihan,et al. Neutrophil and Monocyte CD64 and CD163 Expression in Critically Ill Neonates and Children with Sepsis: Comparison of Fluorescence Intensities and Calculated Indexes , 2008, Mediators of inflammation.
[24] John Ferbas,et al. Mixture modeling approach to flow cytometry data , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.