Enable Operating System by the numbers

  • Over a petabyte (and counting) of data generated and indexed
  • 100+ active collaborators across academia and biopharma
  • 5,000+ samples imaged and analyzed
  • 20+ diseases under study across 75+ scientific studies
  • 200+ unique proteins imaged
  • 32M+ deeply phenotyped single cells

The Enable Lab

We measure 40+ proteins on human and murine tissue while retaining spatial architecture, providing a detailed window into disease biology.

The Enable Atlas

Our integrations across genomics, transcriptomics, proteomics, imaging, and clinical data allow us to link historically disparate data types, leading to the discovery of novel biology.
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The Enable Data Stack

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    Study-specific assays: TCR sequencing, CITE-Seq, etc.
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    Single-cell genomics / transcriptomics: projecting cell-specific expression to spatial distribution
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    Bulk gene expression / mutations: correlating known   oncogenes with spatial distribution
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    High-plex: >40-plex image, single-cell resolution for many cellular subtypes
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    Low-plex: <8-plex image, few cell subtypes
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    H&E: basic 2-stain imaging, well-used by pathologists
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    Clinical: demographics, survival, prior therapies, etc.

The Enable Platform

Our custom, fit-for-purpose image processing and analytics suite utilizes the latest advances in computer vision to understand cellular frequencies, interactions, and neighborhoods at single-cell resolution.