Related Experiment Video
Updated: Jan 13, 2026

08:14
Isolation and Flow Cytometric Characterization of Murine Small Intestinal Lymphocytes
Published on: May 8, 2016
28.4K
A Paired Flow Cytometry-Pathology Assessment for Immune Cell Detection in Intestinal Biopsies: Proof of Principle
Alexandros Skamnelos1, Georgios S Markopoulos2,3, Lefkothea Dova2
1Department of Gastroenterology, University Hospital of Ioannina, 45110 Ioannina, Greece.
Methods and Protocols
|October 28, 2025
Summary
This study introduces a combined flow cytometry and pathology method for immune cell quantification in colon biopsies. The integrated approach enhances diagnostic accuracy by cross-validating results from both techniques.
Area of Science:
- Immunology
- Pathology
- Biotechnology
Background:
- Accurate immune cell quantification is crucial for research and clinical applications.
- Flow cytometry (FC) offers single-cell resolution, while pathology provides spatial context.
- Current methods analyze immune cells separately, limiting comparative analysis.
Purpose of the Study:
- To develop and validate an integrated workflow combining FC and pathology for immune cell quantification.
- To assess immune cell populations within the same colon biopsy specimen.
- To improve diagnostic accuracy through cross-validation of methodologies.
Main Methods:
- Colon biopsy samples were divided for FC and formalin-fixed, paraffin-embedded (FFPE) pathology analysis.
- FC characterized CD45+, CD3+, CD4+, and CD8+ T cells.
- Pathology utilized H&E staining for eosinophils and IHC for CD4 and CD8.
Main Results:
- A pilot study of 10 samples demonstrated high concordance between FC and pathology results.
- The integrated approach allowed for cross-validation of immune cell quantification.
- Feasibility of combining FC and pathology on limited intestinal biopsy material was shown.
Conclusions:
- An integrated workflow combining FC and pathology is feasible for immune cell quantification in colon biopsies.
- This method enables comprehensive assessment of immune cell populations.
- The approach holds potential for improved diagnostic accuracy in immunological studies.

