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Immunocytochemistry and Immunohistochemistry

Immunocytochemistry and Immunohistochemistry

Immunocytochemistry (ICC) and immunohistochemistry (IHC) are techniques that use antibodies to check for specific proteins or antigens in a sample. The technique was first published by Albert Coons in 1941 to detect the presence of pneumococcal antigen in tissue sections from mice infected with Pneumococcus. Immunocytochemistry helps localization of proteins or antigens in individual cells like blood cells, stem cells, etc., while immunohistochemistry does the same for tissue samples.
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Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

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Comprehensive Immunohistochemistry: Digital, Analytical and Integrated.

Arvydas Laurinavicius, Benoit Plancoulaine, Paulette Herlin

Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology

|April 22, 2016

Summary

This summary is machine-generated.

This study proposes a comprehensive immunohistochemistry (IHC) roadmap to bridge the gap between conventional and next-generation IHC. Digital technologies will enhance protein detection accuracy and spatial analysis for better biomarker evaluation.

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Area of Science:

Pathology
Biomarker Discovery
Digital Pathology

Background:

Immunohistochemistry (IHC) is crucial for diagnosing and predicting disease outcomes.
Conventional IHC relies on subjective visual evaluation, limiting accuracy and reproducibility for prognostic biomarkers.
There's a growing need for objective spatial analysis of biomarker expression and integrated biomarker approaches.

Purpose of the Study:

To outline a roadmap for comprehensive immunohistochemistry (IHC) development.
To address the limitations of conventional IHC through digital technologies.
To integrate advanced IHC into pathology workflows for enhanced biomarker analysis.

Main Methods:

Leveraging digital technologies for quantification, spatial analysis, and multiparametric analytics in IHC.
Developing a multistep process for comprehensive IHC implementation.
Integrating comprehensive IHC into existing pathology information systems.

Main Results:

A proposed roadmap for advancing IHC from conventional to next-generation approaches.
Highlighting the potential of digital IHC for high-throughput, quantitative, and spatial protein expression data.
Demonstrating how comprehensive IHC can fill the gap between current and future IHC capabilities.

Conclusions:

Comprehensive IHC, powered by digital technologies, offers a path to overcome conventional IHC limitations.
This approach enables accurate, reproducible, and spatially resolved biomarker measurement.
The proposed roadmap facilitates the evolution of IHC towards next-generation tissue proteomics.