> ## Documentation Index
> Fetch the complete documentation index at: https://docs.strandai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Strand AI

> Strand AI predicts spatial protein marker channels from H&E whole-slide images using Lattice, with no antibody panel, multiplex IF, or extra slide required.

**Strand AI** turns a single H\&E-stained whole-slide image into per-pixel
predictions for a panel of protein markers: biology you would otherwise need
multiplex immunofluorescence, mass cytometry, or a dedicated antibody panel
to capture.

We trained Strand AI Lattice on paired H\&E ⇄ multiplex datasets so you can recover
spatial protein signal directly from the H\&E you already have. The platform
accepts a slide, runs inference on our infrastructure, and returns
model-validated marker channels you can drop into the rest of your pipeline.

## Why Strand AI

<CardGroup cols={2}>
  <Card title="H&E in, markers out" icon="microscope">
    You don't need antibody panels, IF capacity, or a second slide. Submit
    the H\&E and request the markers you need.
  </Card>

  <Card title="Spatial outputs" icon="grid-2">
    Predictions are returned as multi-channel OME-Zarr you can open as
    `AnnData` (Python) or `SpatialExperiment` (R) and treat like real
    multiplex data.
  </Card>

  <Card title="REST + SDKs" icon="terminal">
    Python and R clients, a documented REST API, and a credits ledger you
    can estimate against before you submit.
  </Card>
</CardGroup>

## Who this is for

Researchers and biotech teams who have H\&E at scale and want spatial
proteomics signal, typically for:

* biomarker hypothesis generation in retrospective cohorts,
* enriching slides where IF or mIF was not collected,
* batch-level QC of multiplex panels against an orthogonal predictor.

Lattice is trained primarily on oncology data. Predictions outside an
oncology context are exploratory; if you have a non-oncology use case,
[email us](mailto:support@strandai.com).

## What's next

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Mint an API key and run your first prediction in 5 minutes.
  </Card>

  <Card title="Supported markers" icon="dna" href="/markers">
    The 52 markers we predict today, with the model versions behind them.
  </Card>
</CardGroup>

<Note>
  The platform is currently **invite-only**. If you don't have access yet,
  [request access](https://app.strandai.com/sign-in?requestAccess).
</Note>

<Warning>
  **For research use only.** Strand AI predictions are model outputs intended
  for research and hypothesis generation. They are not validated for, and must
  not be used in, clinical diagnosis, treatment selection, or patient care
  decisions.
</Warning>