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tutorial/tutorial.md

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@@ -37,7 +37,7 @@ To run cellfinder, you need to know:
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* Where your data is \(in this case, it's the path to the `test_brain` directory\)
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* Where you want to save the output data \(we'll just save it into a directory called `cellfinder_output`in the same directory as the `test_brain`\)
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* The pixel sizes of your data in microns \(see [Specifying pixel size](../user-guide/usage/specifying-pixel-size.md) for details\). In this case, our data is 2um per pixel in x and y \(in the coronal plane\) and 5um in z \(the spacing of each plane\).
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* The orientation of your data. For registration
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* The orientation of your data. For atlas registration \(using [brainreg](https://docs.brainglobe.info/brainreg/introduction)\) the software needs to know how you acquired your data \(coronal, saggital etc.\). For this cellfinder uses [bg-space](https://github.com/brainglobe/bg-space). Full details on how to enter your data orientation can be found [here](https://docs.brainglobe.info/brainreg/user-guide#input-data-orientation), but for this tutorial, the orientation is `psl`, which means that the data origin is the most **p**osterior, **s**uperior, **l**eft voxel.
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* Which atlas you want to use \(you can see which are available by running `brainglobe list`. In this case, we want to use a mouse atlas \(as that's what our data is\), and we'll use the 10um version of the [Allen Mouse Brain Atlas](https://mouse.brain-map.org/static/atlas).
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