Quantification and analysis of multiplexed fluorescence in situ hybridization data using open-source tools

Here, we present a protocol to quantify and analyze multiplexed fluorescence in situ hybridization (mFISH) data using two open-source tools, FijiFISH and RUHi. FijiFISH, an ImageJ-based plugin, enables image registration, cell segmentation, and gene expression quantification. RUHi, an R-based package, supports dimensionality reduction, clustering, and visualization through both code and a Shiny app. The protocol also accommodates experimentally induced exogenous fluorophores, providing multimodal, single-cell resolution insights into spatial gene expression. For complete details on the use and execution of this protocol, please refer to Sullivan et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-10-04
DOI
https://doi.org/10.1016/j.xpro.2025.104127
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
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article

Quantification and analysis of multiplexed fluorescence in situ hybridization data using open-source tools

Kaitlin E. Sullivan, Brianna N. Bristow, Margarita Kapustina, Mark S. Cembrowski
1 citations
STAR Protocols
Single-cell and spatial transcriptomics
0.81
article

Quantification and analysis of multiplexed fluorescence in situ hybridization data using open-source tools

Kaitlin E. Sullivan, Brianna N. Bristow, Margarita Kapustina, Mark S. Cembrowski
article en
1 citations

Abstract

Here, we present a protocol to quantify and analyze multiplexed fluorescence in situ hybridization (mFISH) data using two open-source tools, FijiFISH and RUHi. FijiFISH, an ImageJ-based plugin, enables image registration, cell segmentation, and gene expression quantification. RUHi, an R-based package, supports dimensionality reduction, clustering, and visualization through both code and a Shiny app. The protocol also accommodates experimentally induced exogenous fluorophores, providing multimodal, single-cell resolution insights into spatial gene expression. For complete details on the use and execution of this protocol, please refer to Sullivan et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
University of British Columbia (CA)
Openalex Percentile: Top 23%
Single-cell and spatial transcriptomics
0.81
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