What question did this study set out to answer?

The aim is to develop a semi-automated workflow for spatial analysis of multiplex immunofluorescent images to enhance accessibility and reproducibility in research.

March 21, 2026Current Protocols

An Open‐Source Workflow for Semi‐Automated Spatial Profiling of Multiplex Immunofluorescent Images

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The aim is to develop a semi-automated workflow for spatial analysis of multiplex immunofluorescent images to enhance accessibility and reproducibility in research.
Implemented QuPath software for spatial analysis of 2D multiplex immunofluorescent images.
Used object and pixel classification along with cell distance measurements.
Provided protcols for both standard and whole-section image processing.
Included automated reporting tools for data visualization and analysis.
The workflow improves the standardization of spatial profiling in tissue samples.
Facilitated reproducible quantification of cellular organization and tissue structure.
Enhanced capability for integration of spatial data into various research fields.

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Implication

An open-source workflow demonstrates objective quantification of cellular features in tissue sections, suggesting increased reproducibility in analyses.

Cite This Study

Dabb et al. (2026) studied this question.

synapsesocial.com/papers/69be37726e48c4981c67726c https://doi.org/10.1002/cpz1.70331

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Implication

An open-source workflow demonstrates objective quantification of cellular features in tissue sections, suggesting increased reproducibility in analyses.

An Open‐Source Workflow for Semi‐Automated Spatial Profiling of Multiplex Immunofluorescent Images

Key Points

Discussion

Implication

Cite This Study

An Open‐Source Workflow for Semi‐Automated Spatial Profiling of Multiplex Immunofluorescent Images

Key Points

Discussion

Implication

Cite This Study

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