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Related Experiment Video

Updated: Aug 11, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

High-multiplex tissue imaging in routine pathology-are we there yet?

Jakob Einhaus^1,2, Alexander Rochwarger², Sven Mattern²

¹Department of Anaesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Virchows Archiv : an International Journal of Pathology

|February 9, 2023

Summary

High-multiplex tissue imaging (HMTI) offers detailed spatial single-cell analysis for understanding diseases like cancer. This technology can improve diagnosis and personalized treatments by revealing tissue complexities.

Keywords:

Cancer High-multiplex tissue imaging Molecular tumor board Pathology Review Tumor microenvironment

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Last Updated: Aug 11, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

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Published on: August 18, 2023

Area of Science:

Pathology
Immunohistochemistry
Computational Biology

Background:

High-multiplex tissue imaging (HMTI) enables advanced spatial single-cell analysis.
HMTI has shown significant value in tumor biology, infectious diseases, and autoimmune conditions.
The tumor microenvironment (TME) is rich in information for diagnosis and targeted therapies.

Purpose of the Study:

To review the advantages and limitations of current HMTI technologies.
To outline how spatial single-cell data can enhance understanding of disease mechanisms and treatment success.
To discuss the integration of HMTI into clinical workflows for personalized medicine.

Main Methods:

Review of existing HMTI technologies.
Analysis of spatial single-cell data.
Computational tools for spatial analysis of the TME.

Main Results:

HMTI has yielded histopathologic biomarkers for breast cancer outcomes.
HMTI predicts immunotherapy response in melanoma.
HMTI identified histological subgroups in colorectal carcinoma.

Conclusions:

HMTI provides deep insights into tissue architecture and cellular composition.
Integrating HMTI into clinical workflows can personalize patient treatment.
HMTI has the potential to improve routine diagnostics and therapeutic strategies.