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Unlock Spatially-Resolved Single-Cell

Elevate your single-cell research with Survey's spatial profiling
technology — add spatial information to your single-cell data

Survey enables spatially-resolved single-cell multiomics, through whole cell analysis
(not just nuclei), supporting applications like surface protein, TCR/BCR, CRISPR, and optional enrichment and depletion of specific cell types.

Survey's technology is instrument-free, single-cell compatible, high-throughput, low-cost, easy-to-adopt, and eliminates cell segmentation and deconvolution challenges, yielding
high-quality sequencing data, amenable to machine learning and training foundation models.


True Single-cell Spatial Data

The same exact cells across all modalities
RNA, protein, spatial, + more

Gold-standard Single-cell

Unify Single-cell and Spatial | Genomics 2.0 requires the unification of single-cell, spatial and protein profiling methods into common workflows to support the emergence of high-throughput in vivo functional genomics and CRISPR screens.

Survey has developed a category-defining solution that makes it easy to adapt spatial analysis to standard single-cell workflows and support downstream protein staining and enrichment methods.




Spatial Locations

Don't reinvent the wheel | Survey enables you to leverage the full suite of existing single-cell genomics technologies and computational workflows by simply adding spatial metadata to the single-cell data you're already generating.

No additional tissue optimization.

No wasted data acquisition.

No impact to data quality.

High quality, rich, ML-ready, single-cell spatial data

Why Spatial Single-Cell?

Instrument-Free

Avoid complex microscopy systems, expensive imaging equipment, and labor-intensive image analysis that can bottleneck research progress and strain budgets.

Technical Simplicity

Bypasses inherent challenges of cell segmentation and deconvolution that plague imaging methods, reducing technical complexity and potential error sources.

Scalable Throughput

Get scalable, high-throughput spatial mapping that's fully compatible with existing sequencing workflows, maximizing efficiency and reducing time-to-insight.

Explore Our Data


GitHub

Analysis tools for spatially-resolved single-cell data

The Survey toolkit is designed to process and analyze spatially-hashed single-cell data produced by the Survey Genomics assay. The core object is a MuData object which stores single-cell data, spatial hash data, and any other modalities assayed concurrently (e.g. surface protein expression).

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Survey Genomics

Bakar Bio Labs
2625 Durant Ave
Berkeley, CA 94720