Expression of cell surface markers on T cells was assessed using mAbs against human CD28-PE-CY7 (CD28.2) (Biolegend), CCR7-PE (3D12), and CD45RO-FITC (UCHL1) (BD Biosciences). Cells were analyzed using a BD LSR-II Flow Cytometer and the Diva software (BD Biosciences). Data analysis was done using the Kaluza Flow Analysis Software (1.2) (Beckman Coulter).
Kaluza 1.2 flow analysis software
The Kaluza 1.2 flow analysis software is a tool designed for the analysis and visualization of flow cytometry data. It provides a user-friendly interface for data management, gating, and data analysis. The software supports standard flow cytometry file formats and offers a range of data display options, including histograms, dot plots, and contour plots.
Lab products found in correlation
5 protocols using kaluza 1.2 flow analysis software
Flow Cytometry Analysis of T Cell Subsets
Expression of cell surface markers on T cells was assessed using mAbs against human CD28-PE-CY7 (CD28.2) (Biolegend), CCR7-PE (3D12), and CD45RO-FITC (UCHL1) (BD Biosciences). Cells were analyzed using a BD LSR-II Flow Cytometer and the Diva software (BD Biosciences). Data analysis was done using the Kaluza Flow Analysis Software (1.2) (Beckman Coulter).
T Cell Surface Marker Analysis
Comprehensive B Cell Immunophenotyping
Flow Cytometric Analysis of CD4+ T-cells
As stimulation reduces surface expression of CD4 on T-cells, CD4+ T-cells were identified indirectly by gating on CD3-positive and CD8-negative lymphocytes [15 (link)]. The unstimulated samples were used as a guide for setting the linear gates to delineate positive and negative populations for the cytokine staining. For surface staining, isotype controls served as controls.
B cell subset analysis in GPA
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