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EB

Encode Biosciences

This company provides spatial single-cell analysis services, mapping biomolecules like genes and proteins. They offer data analysis including segmentation, cell type calling, and custom spatial analysis.

San Diego, United States110+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional spatial omics methods for single-cell analysis can be slow, expensive, and generate noisy data due to reliance on molecular barcodes. This limits the scale and reliability of insights researchers can derive about cellular organization and function within tissues.

Solution

Encode Biosciences offers spatial omics services leveraging their proprietary ATLAS technology, which uses cellular barcodes to enable faster, cheaper, and more reliable single-cell spatial analysis. The ATLAS technology employs custom-designed transcriptional signatures measured via fluorescence in situ hybridization to encode specific biological content within cells. This approach allows for the projection of scRNAseq data onto spatially measured cells, harmonizing datasets and enabling researchers to answer previously unanswerable questions about the spatial organization of life. Encode Biosciences provides end-to-end services, including staining, measurement, decoding, and data analysis, tailored to specific research needs.

Target Audience

Encode Biosciences primarily serves researchers and organizations in the fields of spatial omics, cell biology, and related disciplines who require scalable and reliable single-cell spatial analysis services.

Features

  • Custom design of transcriptional signatures optimized for specific biological content using scRNAseq data.
  • Fluorescence in situ hybridization staining protocol optimized to eliminate off-target signal and background noise.
  • Spatial data analysis services to extract relevant information from spatial data.
  • Data collection services including staining, measuring, decoding, and analysis of samples.
  • Capability to measure transcriptional signatures, cell type labels, active transcriptional programs, and gene expression.
This profile is AI-generated and may contain inaccuracies.