Flow cytometric analysis of residual leukocytes in filtered blood components.
نویسندگان
چکیده
منابع مشابه
Flow Cytometric Analysis of Leukocytes in Porcine Mammary Secretions
Nine sows were monitored for leukocyte subsets in mammary secretions during lactation. Using flow cytometry, percentages of monocytes/macrophages (CD45CD14), T cells (CD3), and their subpopulations (CD4, CD8 and double positive (DP) CD4CD8), and B cells (CD21) in colostrum and milk were determined. The mean percentage of CD3cells was relatively stable throughout lactation. About 40% of colostra...
متن کاملQuantitation of residual WBCs in filtered blood components by high-throughput, real-time kinetic PCR.
BACKGROUND The effort to eliminate transfusion complications associated with WBCs has led to the widespread use of filters able to reduce WBC concentrations to <or=0.1 WBC per microL blood. This has necessitated sensitive QC methods to quantitate residual WBCs in filtered units. One fast, effective method is DNA amplification using real-time kinetic PCR (kPCR). STUDY DESIGN AND METHODS Two me...
متن کاملFlow cytometric differentiation of avian leukocytes and analysis of their intracellular cytokine expression.
A flow cytometric method for the identification of chicken blood leukocyte subpopulations and thrombocytes was developed. An anti-chicken CD45 phycoerythrin-labelled antibody was used to separate leukocytes from red blood cell nuclei. Leukocytes and thrombocytes were identified using a combination of their CD45-positivity and their typical side scatter properties. The identity of the CD45-posit...
متن کاملdna flow cytometric analysis in variable types of hydropic placentas
background: differential diagnosis between complete hydatidiform mole, partial hydatidiform mole and hydropic abortion, known as hydropic placentas is still a challenge for pathologists but it is very important for patient management. objective: we analyzed the nuclear dna content of various types of hydropic placentas by flowcytometry. materials and methods: dna ploidy analysis was performed i...
متن کاملResidual Components Analysis
Probabilistic principal component analysis (PPCA) seeks a low dimensional representation of a data set in the presence of independent spherical Gaussian noise. The maximum likelihood solution for the model is an eigenvalue problem on the sample covariance matrix. In this paper we consider the situation where the data variance is already partially explained by other factors, for example sparse c...
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ژورنال
عنوان ژورنال: Journal of the Japan Society of Blood Transfusion
سال: 1991
ISSN: 1883-8383,0546-1448
DOI: 10.3925/jjtc1958.37.617