> For the complete documentation index, see [llms.txt](https://help.bioinsight.illumina.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.bioinsight.illumina.com/dragen-stratamap/illumina-stratamap-image-tool/imaging-assessment/configuration.md).

# Configuration

To begin, open the Illumina Spatial Image Tool (ISIT) on your PC from the Start menu or desktop shortcut. Once the application launches, select **Process images** from the home screen to start the image processing workflow. You will then proceed to the **Configuration** page to enter the required microscope image details.

When entering the pixel size on the Illumina Spatial Image Tool, it is important to ensure that the pixel size is accurately entered within the range of 0.15 to 0.50 microns.

If you are using a slide scanner and do not know your pixel size, contact your Illumina Field Application Scientist (FAS) for assistance in obtaining your camera’s pixel size.

Note: Non-stitched images are not supported at this time.

{% hint style="info" %}
Image processing is resource intensive, both in terms of RAM and CPU/GPU. While processing time is difficult to estimate, as it depends on a multitude of factors, the RAM requirement is straightforward: for every 1 GB of uncompressed image file size, 4 GB of free RAM is required. It is critical to use a computer with sufficient RAM installed (we recommend 32 GB of RAM) and to close unnecessary applications while using Illumina Spatial Image Tool.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://help.bioinsight.illumina.com/dragen-stratamap/illumina-stratamap-image-tool/imaging-assessment/configuration.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.