
<LinkableSection id={"relabel-algo"} title={"Relabel"}>

The `relabel` pipeline works by building a 1:1 map between the previously-used gene panel and the new gene panel. This map is used to correct the gene labels given to each of the discovered transcripts. After correcting the labels, all results are recomputed using the same methods employed by the [Xenium Onboard Analysis pipeline](/support/software/xenium-onboard-analysis/latest/algorithms-overview/xoa-algorithms).

</LinkableSection>

<LinkableSection id={"reseg-algo"} title={"Resegment"}>

The `resegment` pipeline uses the same nucleus segmentation model as the corresponding Xenium Onboard Analysis (XOA) version. For example, Xenium Ranger v1.6 uses the nucleus segmentation model included in the XOA v1.6 release.

See [Xenium Onboard Analysis](/support/software/xenium-onboard-analysis/latest/algorithms-overview/xoa-algorithms#seg) algorithm overview for details about the cell segmentation algorithm.

</LinkableSection>

<LinkableSection id={"import-seg-algo"} title={"Import-segmentation"}>

Xenium Ranger can import a variety of community-developed segmentation formats. The methods used to incorporate new segmentations fall under three scenarios:

- Import nucleus and cell labeled segmentation masks (TIFF or NPY), where each pixel is an integer corresponding to the cell ID
- Import nucleus and cell segmentation polygons (GeoJSON)
- Import transcript-based segmentations

In scenario 1, if the user only imports a nuclear segmentation mask, then a new cell segmentation is generated by nuclear expansion. If both nuclei and cells are imported, then Xenium Ranger will inspect the masks for consistency. Given current restrictions on the relationship between nuclei and cells, Xenium Ranger expects each cell to have a nucleus and vice versa. In cases where there are cells without a nucleus, a nucleus will be generated with the same shape and size as the cell. Similarly, if a nucleus is found without a cell, a cell is generated with the same shape and size as the nucleus. In either of these cases, metrics are generated to provide the user knowledge of how many cells or nuclei were artificially generated. Warnings are produced if a large number of cells (or nuclei) are found without a nucleus (or cell). After the masks have been made consistent, all results are recomputed using the new segmentation results.

In scenario 2, Xenium Ranger first takes the input GeoJSON polygons and converts them into labeled masks. Given the flexibility of the GeoJSON format, it is possible the input polygons do not fit neatly into a mask. For example, two polygons could overlap one another. In the process of converting polygons into masks, Xenium Ranger detects polygons that overlap one another and marks the overlapping pixels as ambiguous. The ambiguous pixels are then resolved by assigning the pixel to the object with the most neighboring pixels. Metrics are generated to explain how many ambiguous pixels were found. After masks have been generated, the remaining method follows scenario 1.

Lastly, when importing a transcript-based segmentation, Xenium Ranger records the cell assignments for each of the transcripts. The user is required to supply visualization polygons for cells, which are also used to filter cells by minimum and maximum area thresholds. Subsequently, all results are recomputed using the imported transcript assignments. As mentioned above, there can potentially be issues in converting imported polygons into a mask. For the case of importing transcript assignments, Xenium Ranger will not try to convert the visualization polygons into a mask. Instead, it will generate an empty mask and leave the polygons untouched.

For every scenario, a unique random ID is assigned to each cell in the same [string format](/support/software/xenium-onboard-analysis/latest/advanced/xoa-output-zarr#cellID) used by the XOA pipeline.

</LinkableSection>


Xenium Ranger Algorithms Overview

Overview

Getting Started

Download Center

Xenium Ranger Commands

Analysis

Algorithms

Advanced

Release Notes

Xenium Onboard Analysis

Xenium Explorer

Datasets

Analysis Guides

Xenium Ranger 1.7

Xenium Ranger

Learn more about input files required for Xenium Ranger

Inputs

Learn how to run Xenium Ranger subcommands.

Running Pipelines

Guidance for choosing a Xenium Ranger pipeline.

Choosing a Pipeline

Relabel

Modify the Xenium Onboard Analysis cell segmentation results.

Resegment

Import segmentation results from community-developed tools.

Import-segmentation

Learn more about output files generated by Xenium Ranger

Outputs

The Xenium In Situ software suite is a set of software applications for analyzing and visualizing in situ gene expression data produced by the Xenium Analyzer. Xenium Ranger provides flexible off-instrument reanalysis of Xenium In Situ data. Relabel transcripts, resegment cells with the latest 10x segmentation algorithms, or import your own segmentation data to assign transcripts to cells.

What is Xenium Ranger?

Learn about Xenium Ranger, software compatibility, and analysis workflows.

Getting Started with Xenium Ranger

New to Xenium Ranger?

We provide resources from protocols, user guides, and free-to-use analysis tools.

View the latest updates to Xenium Ranger algorithms.

View the latest updates to Xenium Ranger.

Learn more about Xenium In Situ instrument analysis software.

Visualize data from Xenium In Situ solutions.

Browse Q&As from the 10x Genomics support team.

Access free, publicly available data generated with Xenium In Situ solutions.

A collection of introductions, tutorials, and blogs for data analysis beyond 10x Genomics software.