Related Experiment Video
Updated: Dec 28, 2025
11:27
Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
Published on: September 22, 2013
9.7K
Multispectral imaging technology: Visualize, analyze, phenotyping, and quantify immune cells in situ
Eliana Pivetta1, Paola Spessotto1
1Molecular Oncology and Preclinical Model of Tumor Progression, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
The International Journal of Biological Markers
|February 22, 2020
Summary
MultiSpectral fluorescence Imaging (MSI) precisely analyzes ovarian cancer biomarkers and immune infiltrates. This technique aids in understanding treatment efficacy by examining immune checkpoints like programmed death-ligand 1 expression.
Area of Science:
- Oncology
- Immunohistopathology
- Biomarker Analysis
Background:
- Personalized medicine drives demand for precise diagnostic tools in immunohistopathology.
- MultiSpectral fluorescence Imaging (MSI) offers detailed multi-biomarker analysis within histological context.
- Understanding immune infiltrate and immune checkpoint expression is crucial for improving targeted therapies.
Purpose of the Study:
- To evaluate MultiSpectral fluorescence Imaging (MSI) for analyzing immune infiltrate and programmed death-ligand 1 (PD-L1) expression in ovarian cancer.
- To identify the advantages and limitations of MSI in this specific application.
- To correlate immune cell infiltration with PD-L1 expression in paraffin-embedded ovarian cancer tissues.
Main Methods:
- Application of MultiSpectral fluorescence Imaging (MSI) technology.
- Analysis of immune infiltrate composition and distribution.
- Quantification of programmed death-ligand 1 (PD-L1) expression.
- Investigation of paraffin-embedded ovarian cancer tissue samples.
Main Results:
- MSI provides detailed insights into the immune microenvironment of ovarian tumors.
- The study identified correlations between specific immune infiltrates and PD-L1 expression levels.
- Advantages and challenges of using MSI for ovarian cancer biomarker analysis were documented.
Conclusions:
- MSI is a valuable tool for comprehensive analysis of immune infiltrates and PD-L1 expression in ovarian cancer.
- Detailed characterization of the tumor immune microenvironment can inform the efficacy of immunotherapies.
- Further research using MSI may optimize targeted treatment strategies in ovarian cancer.
