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Related Experiment Video

Updated: Jul 2, 2026

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells
07:55

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

Dean Tessone1,2, Mohamed Kamal1, Valerie Hennes1

  • 1Convergent Science Institute in Cancer, University of Southern California, Los Angeles, CA, 90089, USA.

BMC Bioinformatics
|July 1, 2026
PubMed
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OpenIMC is a new open-source platform that unifies Imaging Mass Cytometry (IMC) data analysis. This integrated framework simplifies complex single-cell and spatial proteomics workflows, enhancing reproducibility and accessibility for researchers.

Area of Science:

  • Proteomics
  • Single-cell analysis
  • Spatial biology

Background:

  • Imaging Mass Cytometry (IMC) offers powerful single-cell proteomics with spatial context.
  • Current IMC data analysis is fragmented across multiple tools, hindering reproducibility and accessibility.
  • Researchers face technical barriers due to the complexity of integrating diverse analysis software.

Purpose of the Study:

  • To develop a unified, open-source platform for integrated Imaging Mass Cytometry (IMC) data analysis.
  • To reduce the technical barriers and improve reproducibility in IMC workflows.
  • To provide a comprehensive framework for visualization, preprocessing, phenotyping, and spatial analysis of IMC data.

Main Methods:

  • Developed OpenIMC, an integrated graphical and command-line platform for IMC analysis.
Keywords:
Batch correctionImage analysisImaging mass cytometryMultiplexed imagingOpen-source softwareSingle-cell proteomicsSpatial proteomics

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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
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Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

Related Experiment Videos

Last Updated: Jul 2, 2026

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells
07:55

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
12:36

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry

Published on: June 26, 2018

  • Incorporated modules for image visualization, quality control, preprocessing, segmentation, feature extraction, dimensionality reduction, batch correction, clustering, phenotyping, and spatial analysis.
  • Implemented automated provenance tracking and ensured interoperability with existing community tools.
  • Main Results:

    • OpenIMC successfully integrates major IMC analysis stages into a unified framework.
    • Benchmarking confirmed deterministic behavior, concordance between workflows, and agreement with established pipelines.
    • The platform supports high-resolution IMC workflows, including signal attenuation modeling and image deconvolution.
    • Demonstrated integrated single-cell and spatial proteomics analysis on circulating cells and breast tissue datasets.

    Conclusions:

    • OpenIMC simplifies IMC data analysis by providing a unified, reproducible, and extensible framework.
    • The platform lowers technical barriers through interactive visualization and scalable computational analysis.
    • Facilitates reproducible single-cell and spatial proteomics research by integrating diverse analytical steps.