Image analysis for accurately counting CD4+ and CD8+ T cells in human tissue

Journal of Virological Methods

Volumn 222, Issue , 2015, Pages 117-121

  Diem, Kurt ^a   Magaret, Amalia ^a,b   Klock, Alexis ^a   Jin, Lei ^a   Zhu, Jia ^a,b   Corey, Lawrence ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b USA   (United States)

Author keywords

Cell counting; CellProfiler; HSV 2; Immunohistochemistry (IHC); Software cell counting

Indexed keywords

ARTICLE; AUTOFLUORESCENCE IMAGING; AUTOMATED CELL COUNTING; AUTOMATION; CD4+ T LYMPHOCYTE; CD8+ T LYMPHOCYTE; CELL COUNTING; CELL DENSITY; CELLULAR DISTRIBUTION; COMPUTER PROGRAM; CONTROLLED STUDY; HUMAN; HUMAN CELL; HUMAN TISSUE; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE STUDY; REPRODUCIBILITY; SIGNAL DETECTION; SKIN BIOPSY; BIOPSY; COMPARATIVE STUDY; CYTOLOGY; EVALUATION STUDY; FLUORESCENCE; GENITAL HERPES; IMAGE PROCESSING; IMMUNOLOGY; LYMPHOCYTE COUNT; PATHOLOGY; PROCEDURES; SKIN; STAINING;

HERPESVIRIDAE; HUMAN HERPESVIRUS 2;

BIOPSY; CD4-POSITIVE T-LYMPHOCYTES; CD8-POSITIVE T-LYMPHOCYTES; CYTOLOGICAL TECHNIQUES; FLUORESCENCE; HERPES GENITALIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LYMPHOCYTE COUNT; PATHOLOGY; SKIN; STAINING AND LABELING;

EID: 84935034933     PISSN: 01660934     EISSN: 18790984     Source Type: Journal    
DOI: 10.1016/j.jviromet.2015.06.004     Document Type: Article

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