High-plex Imaging using Spectral Confocal Microscopy to Minimize Non-specific Tissue Fluorescence

作者： Saven Denha*1,2, Vitoria M. Olyntho*1,2, Jake Colautti1,2, Dima Traboulsi1,2, Dan Stevens3, Susan Waserman2, Doron D. Sommer4, Manel Jordana1,2, Joshua F.E. Koenig1,2 1McMaster Immunology Research Centre, Department of Medicine, Faculty of Health Sciences,McMaster University, 2Schroeder Allergy and Immunology Research Institute, Faculty of Health Sciences,McMaster University, 3Carl Zeiss Canada MicroImaging, 4Division of Otolaryngology, Department of Surgery, McMaster University Medical Centre,McMaster University Medical Centre

简介：

Overview

This study optimizes the IBEX workflow by integrating heparin blocking and spectral detection to enhance signal clarity in eosinophil-rich human tissues. The approach aims to suppress autofluorescence and nonspecific binding, facilitating high-parameter spatial proteomic analyses.

Key Study Components

Area of Science

• Neuroscience
• Biology
• Proteomics

Background

• IBEX technique is designed for high-parameter imaging.
• Heparin blocking minimizes nonspecific binding.
• Autofluorescence can obscure true signals in imaging.
• Optimizing workflows is crucial for accurate spatial proteomics.

Purpose of Study

• To enhance the IBEX technique for clearer imaging results.
• To reduce background noise in eosinophil-rich tissues.
• To enable robust multi-round spatial proteomic analyses.

Methods Used

• Heparin blocking to minimize nonspecific binding.
• Spectral detection with computational unmixing.
• Preparation of tissue samples with PBS for rehydration.
• Use of hydrophobic barriers to isolate tissue samples.

Main Results

• Successful suppression of autofluorescence in imaging.
• Improved clarity in high-parameter spatial proteomic maps.
• Accelerated image acquisition processes.
• Robustness of the optimized IBEX workflow demonstrated.

Conclusions

• The optimized IBEX technique significantly enhances imaging quality.
• Heparin blocking is effective in reducing nonspecific binding.
• Spectral detection methods improve the accuracy of proteomic analyses.

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