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Updated: Jul 2, 2026

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

Published on: February 8, 2016

Immunophenotyping.

C C Stewart¹, S J Stewart

¹Roswell Park Cancer Institute, Buffalo, New York, USA.

Current Protocols in Cytometry

|September 5, 2008

Summary

This summary is machine-generated.

This study details flow cytometry immunophenotyping techniques using direct and indirect antibody staining for multicolor analysis. It also provides methods for analyzing data and excluding nonviable cells for accurate results.

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Published on: October 9, 2018

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Last Updated: Jul 2, 2026

A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood

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Immunophenotyping of Orthotopic Homograft (Syngeneic) of Murine Primary KPC Pancreatic Ductal Adenocarcinoma by Flow Cytometry

Immunophenotyping of Orthotopic Homograft (Syngeneic) of Murine Primary KPC Pancreatic Ductal Adenocarcinoma by Flow Cytometry

Published on: October 9, 2018

Area of Science:

Immunology
Cell Biology
Biotechnology

Background:

Flow cytometry is a powerful technique for cell analysis.
Immunophenotyping requires specific antibody staining protocols.
Accurate data analysis is crucial for reliable results.

Purpose of the Study:

To present fundamental immunophenotyping techniques using flow cytometry.
To describe direct and indirect antibody staining methods for multicolor analysis.
To detail data analysis procedures and nonviable cell exclusion.

Main Methods:

Direct immunophenotyping using conjugated monoclonal antibodies.
Indirect immunophenotyping with primary and secondary antibodies.
Two-, three-, and four-color staining protocols.
Flow cytometry data acquisition and analysis.
Nonviable cell detection and gating strategies.

Main Results:

Successful implementation of direct and indirect staining for immunophenotyping.
Effective multicolor staining achieved with combined methods.
Detailed procedures for flow cytometry data analysis.
Method for identifying and excluding nonviable cells from analysis.

Conclusions:

The presented techniques provide a robust framework for immunophenotyping by flow cytometry.
Multicolor staining enhances the ability to analyze multiple cell populations simultaneously.
Exclusion of nonviable cells improves the accuracy and reliability of flow cytometry data.