Literature DB >> 95180

Characterization of murine T and B cells by computerized microphotometric analysis.

G B Olson, P H Bartels, R E Anderson.   

Abstract

Splenocytes and column-separated T cells are differentiated into subpopulations of T and B cells on the basis of computer-assisted morphometric analysis of Feulgen-positive nuclear DNA. Differentiation is based upon the analysis of computable image information related to DNA distribution patterns. The technique at the present time does not allow immunofluorescent and morphometric measurements to be made on a given cell. However, the differentiation obtained by using descriptors proven capable of detecting pure populations of T and B cells shows excellent agreement with the differentiation obtained by immunofluorescence analysis. The descriptors and decision rules used the discrimination among splenocytes are reproducible from one experiment to another and remain valid for the differentiation of lymphocytes from animals of different sex and strain.

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Year:  1979        PMID: 95180     DOI: 10.1007/bf02783665

Source DB:  PubMed          Journal:  Cell Biophys        ISSN: 0163-4992


  19 in total

1.  Studies on the electrophoretic separability of B and T human lymphocytes.

Authors:  P S Vassar; E M Levy; D E Brooks
Journal:  Cell Immunol       Date:  1976-02       Impact factor: 4.868

2.  Computer analysis of defined populations of lymphocytes irradiated in vitro. II. Analysis of thymus-dependent versus bone marrow-dependent cells.

Authors:  R E Anderson; G B Olson; J L Howarth; G L Wied; P H Bartels
Journal:  Am J Pathol       Date:  1975-07       Impact factor: 4.307

Review 3.  Immunoglobulin receptors on B lymphocytes: shifts in immunoglobulin class during immune responses.

Authors:  C W Pierce; R Asofsky; S M Solliday
Journal:  Fed Proc       Date:  1973-01

4.  Cell nucleus pattern recognition: influence of staining.

Authors:  B de C Vidal; G Schlüter; G W Moore
Journal:  Acta Cytol       Date:  1973 Nov-Dec       Impact factor: 2.319

5.  Evaluation of correlational information in digitized cell images.

Authors:  P H Bartels; G F Bahr; W S Jeter; G B Olson; J Taylor; G L Wied
Journal:  J Histochem Cytochem       Date:  1974-02       Impact factor: 2.479

6.  Objective cell image analysis.

Authors:  P H Bartels; G F Bahr; M Bibbo; G L Wied
Journal:  J Histochem Cytochem       Date:  1972-04       Impact factor: 2.479

7.  Taxonomic intra-cellular analytic system (TIICAS) for cell identification.

Authors:  G L Wied; P H Bartels; G F Bahr; D G Oldfield
Journal:  Acta Cytol       Date:  1968 May-Jun       Impact factor: 2.319

8.  Computer discrimination of T and B lymphocytes.

Authors:  P H Bartels; G B Olson; J M Layton; R E Anderson; G L Wied
Journal:  Acta Cytol       Date:  1975 Jan-Feb       Impact factor: 2.319

9.  Markovian analysis of cervical cell images.

Authors:  N J Pressman
Journal:  J Histochem Cytochem       Date:  1976-01       Impact factor: 2.479

10.  Human lymphocyte subpopulation: early and late rosettes.

Authors:  D T Yu
Journal:  J Immunol       Date:  1975-07       Impact factor: 5.422

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  1 in total

1.  Subclassification of murine T cells by computerized microphotometric analysis.

Authors:  G B Olson; P H Bartels; R E Anderson
Journal:  Cell Biophys       Date:  1979-09
  1 in total

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