# Eager to try something COOL?

> **Interested in improving** [**the largest connectome to date**](https://www.janelia.org/news/unveiling-the-biggest-and-most-detailed-map-of-the-fly-brain-yet) **by yourself? Here are the instructions!**
>
> **For any questions, please contact Ting Zhao (<zhaot@janelia.hhmi.org>)**

## Requirements

* Active DVID database that supplies the hemibrain dataset. Visit [dvid.io](http://dvid.io) for more instructions.
* A modern Linux/Mac machine with a mainstream Graphics card
  * Make sure the machine can connect to the database

## Install NeuTu

```
curl -X GET https://raw.githubusercontent.com/janelia-flyem/NeuTu/master/neurolabi/shell/setup_neutu.sh > setup_neutu.sh
bash setup_neutu.sh <install_dir> neutu
```

{% hint style="info" %}
Note: \<install\_dir> is the path to where NeuTu will be installed. It is preferred to be a non-existing or empty directory.
{% endhint %}

## Start NeuTu

```
<install_dir>/bin/neutu
```

## Load Dataset from DVID

You can follow the instructions from [Get Started](https://janelia-flyem.gitbook.io/neutu/get-started) to open a dataset in NeuTu. You can also copy and paste the following settings to NeuTu after **replacing \<grayscale\_uuid> with the actual grayscale UUID**, assuming that the segmentation/synapse data are hosted on localhost:8000 with  and the grayscale data are hosted on localhost:8001 with uuid \<grayscale\_uuid>. For different server addresses, you need to replace the address settings accordingly.

```javascript
{
  "address": "localhost",
  "port": 8000,
  "name": "local_test",
  "default": false,
  "segmentation": "segmentation",
  "uuid": "52a1",
  "proofreading": true,
  "synapse": "synapses",
  "supervised": false,
  "@grayscale": [
    {
      "address": "localhost",
      "port": 8001,
      "background": 0,
      "gray_scale": "grayscale",
      "default": false,
      "uuid": "<grayscale_uuid>"
    }
  ]
}
```

![Paste Settings to Load DVID Dataset](https://2926737796-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Ld57Fj27nUB-NnjPb7c%2F-LzCihVUKSZG_wJNVkZg%2F-LzCmcVOZ07YCijygWnd%2Fload_database.gif?alt=media\&token=fbe336d6-a085-43d5-9864-25ae928e89dd)
