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Related Experiment Video

Updated: Jul 14, 2025

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research

Published on: June 10, 2025

Fully automated sequential immunofluorescence (seqIF) for hyperplex spatial proteomics.

François Rivest¹, Deniz Eroglu¹, Benjamin Pelz¹

¹Lunaphore Technologies SA, Tolochenaz, Switzerland.

Scientific Reports

|October 9, 2023

Summary

This summary is machine-generated.

A new method called sequential ImmunoFluorescence (seqIF) allows for multiplexed protein detection in tissues, preserving spatial context for tumor microenvironment research. This automated technique provides high-plex data quickly using standard antibodies, aiding immune-oncology studies.

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Last Updated: Jul 14, 2025

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Published on: June 10, 2025

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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: April 7, 2023

Area of Science:

Proteomics
Biomarker Discovery
Spatial Biology

Background:

Tissues are complex, with cell-cell and cell-matrix interactions crucial for function.
Investigating the tumor microenvironment requires preserving spatial context in proteomic analysis.
Existing methods may struggle with high-plex spatial protein detection.

Purpose of the Study:

To introduce and characterize a novel multiplexed protein biomarker detection method, sequential ImmunoFluorescence (seqIF).
To demonstrate the utility of seqIF for spatial proteomics in complex tissue samples.
To enable advanced spatial analysis for immune-oncology and clinical applications.

Main Methods:

Sequential ImmunoFluorescence (seqIF) on the COMET instrument.
Automated antibody incubation and elution cycles with in-situ imaging.
Utilized an integrated microscope and microfluidic chip for optimized sample access.

Main Results:

Achieved 40-plex protein detection on single tissue sections in under 24 hours.
Demonstrated high data quality, including elution efficiency, epitope stability, and reproducibility.
Successfully applied seqIF to both tumor and healthy tissue samples.

Conclusions:

seqIF is a streamlined, automated method for high-plex spatial proteomics using off-the-shelf antibodies.
The method provides high-quality data suitable for downstream analysis in immune-oncology.
seqIF facilitates spatial analysis and shows potential for clinical adoption.