Spatial Multimodal Analysis on G4X

Powering deep single-cell insights from unified spatial omics and advanced analytical pipelines.

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3D niches from multiomic reconstruction of 10 serial renal cell carcinoma sections on single G4X flowcell (6.2 M cells).

Primary Analysis and Results QC

On-board Primary Analysis and QC

High performance computing on the G4X performs image processing, base calling, and machine learning–based single-cell segmentation, eliminating the need for external compute infrastructure and accelerating your time to results.

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Multimodal Tissue Viewer

High performance computing on the G4X performs image processing, base calling, and machine learning–based single-cell segmentation, eliminating the need for external compute infrastructure and accelerating your time to results.

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Multimodal Tissue Viewer

High performance computing on the G4X performs image processing, base calling, and machine learning–based single-cell segmentation, eliminating the need for external compute infrastructure and accelerating your time to results.

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Robust chemistry, precisely controlled workflow, and inherent system throughput enable exceptional section-to-section reproducibility within a lane, across flow cells and across runs. This consistency ensures reliable and comparable results across multiple experiments and samples, facilitating robust spatial mulitiomic analysis

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Pearson correlation of per-probe expression levels with positive probes (green) and negative controls between serial sections of kidney cancer FFPE sample profiled on two separate flow cells.