From fb683412e117bbab1d3fe4b06afb933df1c332a6 Mon Sep 17 00:00:00 2001 From: Adam Tyson Date: Tue, 31 Oct 2023 13:38:34 +0000 Subject: [PATCH 1/4] Reorganise tutorials --- docs/source/tutorials/index.md | 35 +++++++++++++++++++++------------- 1 file changed, 22 insertions(+), 13 deletions(-) diff --git a/docs/source/tutorials/index.md b/docs/source/tutorials/index.md index 305e06b8..10b84dbe 100644 --- a/docs/source/tutorials/index.md +++ b/docs/source/tutorials/index.md @@ -1,15 +1,29 @@ # Tutorials - +## Introductory tutorials ::::{grid} 1 2 2 3 :gutter: 3 +:::{grid-item-card} {fas}`brain;sd-text-primary` Atlas visualisation +:img-bottom: images/visualise-atlas-napari.png +:link: visualise-atlas-napari +:link-type: doc +Visualise atlas data in napari +::: + :::{grid-item-card} {fas}`brain;sd-text-primary` 3D registration :img-bottom: images/brainreg.png :link: brainreg :link-type: doc Registering a whole-brain dataset to an atlas. ::: +:::: + +## Application tutorials +::::{grid} 1 2 2 3 +:gutter: 3 + + :::{grid-item-card} {fas}`brain;sd-text-primary` Probe segmentation :img-bottom: images/probes.png @@ -18,12 +32,6 @@ Registering a whole-brain dataset to an atlas. Analysis of silicon probe tracks (e.g. Neuropixels) ::: -:::{grid-item-card} {fas}`brain;sd-text-primary` Cell detection -:img-bottom: images/cellfinder.png -:link: cellfinder-cli/index -:link-type: doc -Whole brain cell detection and registration -::: :::{grid-item-card} {fas}`brain;sd-text-primary` Bulk tracing analysis :img-bottom: images/bulkaxons.png @@ -32,11 +40,11 @@ Whole brain cell detection and registration Analyze and visualize bulk fluorescence tracing data ::: -:::{grid-item-card} {fas}`brain;sd-text-primary` Atlas visualisation -:img-bottom: images/visualise-atlas-napari.png -:link: visualise-atlas-napari +:::{grid-item-card} {fas}`brain;sd-text-primary` Cell detection +:img-bottom: images/cellfinder.png +:link: cellfinder-cli/index :link-type: doc -Visualise atlas data in napari +Whole brain cell detection and registration ::: :::: @@ -45,9 +53,10 @@ Visualise atlas data in napari :maxdepth: 2 :caption: Index :hidden: +visualise-atlas-napari brainreg silicon-probe-tracking -cellfinder-cli/index tracing-tracking -visualise-atlas-napari +cellfinder-cli/index + ``` \ No newline at end of file From 3ee17c81f0cd6d54c51c583ba9c7b45050c1586a Mon Sep 17 00:00:00 2001 From: Adam Tyson Date: Tue, 31 Oct 2023 13:59:54 +0000 Subject: [PATCH 2/4] rename registration tutorial --- docs/source/tutorials/index.md | 4 ++-- .../{brainreg.md => tutorial-whole-brain-registration.md} | 0 2 files changed, 2 insertions(+), 2 deletions(-) rename docs/source/tutorials/{brainreg.md => tutorial-whole-brain-registration.md} (100%) diff --git a/docs/source/tutorials/index.md b/docs/source/tutorials/index.md index 10b84dbe..a0578083 100644 --- a/docs/source/tutorials/index.md +++ b/docs/source/tutorials/index.md @@ -13,7 +13,7 @@ Visualise atlas data in napari :::{grid-item-card} {fas}`brain;sd-text-primary` 3D registration :img-bottom: images/brainreg.png -:link: brainreg +:link: tutorial-whole-brain-registration :link-type: doc Registering a whole-brain dataset to an atlas. ::: @@ -54,7 +54,7 @@ Whole brain cell detection and registration :caption: Index :hidden: visualise-atlas-napari -brainreg +tutorial-whole-brain-registration silicon-probe-tracking tracing-tracking cellfinder-cli/index diff --git a/docs/source/tutorials/brainreg.md b/docs/source/tutorials/tutorial-whole-brain-registration.md similarity index 100% rename from docs/source/tutorials/brainreg.md rename to docs/source/tutorials/tutorial-whole-brain-registration.md From 9d10f6b9faa4fa63c4bb3b5ab54a37a730a1d085 Mon Sep 17 00:00:00 2001 From: Adam Tyson Date: Tue, 31 Oct 2023 15:56:34 +0000 Subject: [PATCH 3/4] Restructure basic registration tutorial --- .../tutorials/images/brainreg-napari.webp | Bin 52540 -> 0 bytes .../image-loaded-brainreg-napari.png | Bin 0 -> 157761 bytes .../plugin-menu-brainreg-napari.png | Bin 0 -> 109998 bytes .../results-brainreg-napari.png | Bin 0 -> 193360 bytes .../tutorial-whole-brain-registration.md | 137 +++++------------- 5 files 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To begin: -* Download the data from [here](https://gin.g-node.org/cellfinder/data/raw/master/brainreg/test\_brain.zip) (the dataset is \~10MB, so it should download quickly). -* Unzip the data to a directory of your choice (doesn't matter where). You should end up with a directory called `test_brain` with 270 `.tif` images - -To run brainreg, you need to know: -* Where your data is (in this case, it's the path to the `test_brain` directory) -* Where you want to save the output data (we'll just save it into a directory called `brainreg_output`in the same directory as the `test_brain`) -* The pixel sizes of your data in microns (see [Image definition](/documentation/general/image-definition) for details). -In this case, our data is 40μm per pixel in the coronal plane, and the spacing of the planes is 50μm. -* The orientation of your data. The software needs to know how you acquired your data (coronal, sagittal etc.). For this -BrainGlobe uses [bg-space](/documentation/bg-space/index). For this tutorial, the orientation is `psl`, which means -that the data origin is the most **p**osterior, **s**uperior, **l**eft voxel. For more details see -[Image definition](/documentation/general/image-definition) -* Which atlas you want to use (the list of available atlases is available [here](/documentation/bg-atlasapi/usage/atlas-details)). -In this case, we want to use a mouse atlas (as that's what our data is), and we'll use the 50μm version of the [Allen Mouse Brain Atlas](https://mouse.brain-map.org/static/atlas) - -:::{hint} -In this tutorial we will use the 50μm version of the [Allen Mouse Brain Atlas](https://mouse.brain-map.org/static/atlas). -Low-resolution atlases like this are usually only used for testing (the registration will work much quicker at lower resolution). - In this case, the test input data is very low resolution, so using a higher resolution atlas doesn't make much sense. - -When using your own data, you'll probably find that higher resolution atlases provide better results. -Make sure to test out the different resolutions to see what works best. +The focus of this tutorial is simply to successfully register a single image. +Optimising brainreg for specific applications will be covered separately. + +:::{note} +You will need `napari` installed on your computer - please follow [`napari`'s installation instructions to do so](https://napari.org/stable/tutorials/fundamentals/installation.html). ::: -## Running the registration -There are two ways to run the registration using brainreg. -If you're just getting started, we recommend the [napari](https://napari.org/stable) plugin. -This provides a graphical user interface, and makes it easier to tweak parameters. +1. Open `napari`. +2. Install `brainreg-napari` by selecting `Plugins > Install/Uninstall plugins` and searching for `brainreg-napari` in the searchbox. Then click on the `Install` button. +3. Open the `brainreg` widget by selecting `Plugins > Atlas registration (brainreg-napari)` in the napari menu bar near the top left of the window. +![brainreg widget](./images/brainreg-napari/plugin-menu-brainreg-napari.png) -If you need to run brainreg on many samples, or on a remote machine -(e.g., using an institutional high-performance computing system), there is a command-line interface. +**The brainreg widget appears on the right-hand side of the window.** -Whichever interface you use, the results will be identical. +4. Open the sample image by selecting `File > Open Sample > Low resolution brain (brainreg-napari)`. +5. Make the image easier to see by adjusting the `contrast limits` in the top left section of the napari window. Moving +the right-hand slider to the left will make the image appear brighter. +![loaded image](./images/brainreg-napari/image-loaded-brainreg-napari.png) -:::{admonition} Registration using the napari plugin -:class: dropdown -## Before you start -* [Make sure you have napari installed](https://napari.org/stable/tutorials/fundamentals/installation.html) -* Install the brainreg-napari plugin from within napari (`Plugins` -> `Install/Uninstall Package(s)`, choosing `brainreg-napari`).) -* Open napari +**A whole mouse brain image loaded into napari.** -## Run brainreg -To run brainreg, we firstly need to load the data, by dragging and dropping the `test_brain` directory into the main -napari window. Then load the plugin by selecting `brainreg-register: Atlas registration` from the napari `Plugins` menu. -In the plugin, set all the necessary parameters: +6. In the plugin widget, set all the necessary parameters: -* `Image layer` - Set this to the `test_brain` image layer +* `Image layer` - Set this to the `Sample brain` image layer * `Atlas` - Set this to `allen_mouse_50um` * `Data orientation` - Set this to `psl` * `Voxel size (z)` - Set to 50 * `Voxel size (x)` - Set to 40 * `Voxel size (y)` - Set to 40 -* `Output directory` - Click `Choose directory`, and create a new directory in the same directory as -* `test_brain` called `brainreg_output` - -Make sure the image layer is deselected on the left-hand side, and then you should see something like this -(N.B. the visualised plane and the contrast of the brain has been adjusted): - -![brainreg-napari](images/brainreg-napari.webp) - -You can then click `Run`, and the registration will start. Lots of stuff will get printed to the -console as brainreg runs, and when it's done (it should only take a minute or so), you will see something like: - -``` -INFO - MainProcess cli.py:230 - Finished. Total time taken: 0:00:29.15 -``` - -This means that the registration is complete, but the results will appear in the napari window. -Toggling the visibility of the `Boundaries` layer (click the eye icon) is the easiest way to assess registration accuracy. -::: - -:::{admonition} Registration using the command line tool -:class: dropdown -## Instructions: - -### Setting up +* `Output directory` - Click `Choose directory`, and create a new directory on your machine -* Open a terminal (Linux/macOS) or your command prompt (Windows) -* Activate your [conda environment](/documentation/general/conda) +7. Click `Run`. After 30-60 seconds, two new napari layers will be loaded, `Boundaries` and `allen_mouse_50um`. +8. Toggle the visibility of these two layers (using the eye icon on the left of the layer name) to overlay the +registration results. These can be explored by zooming in/out, scrolling through the 3D data and adjusting the +visibility and contrast of the loaded data. -### Run brainreg -To run brainreg, you need to pass: -* The path to the sample data -* The path to the directory to save the results -* The voxel sizes -* The orientation -* The atlas to use +![loaded image](./images/brainreg-napari/results-brainreg-napari.png) -We put this all together in a single command: +**Registration results overlaid onto raw data.** -``` -brainreg test_brain brainreg_output -v 50 40 40 --orientation psl --atlas allen_mouse_50um -``` - -Lots of output will get printed to the console as brainreg runs, and when it's done (it should only take a minute or -so), you will see something like: - -``` -INFO - MainProcess cli.py:230 - Finished. Total time taken: 0:00:29.15 -``` - -This means that the registration is complete. - -### Visualising the results - -brainreg comes with a plugin for [napari](https://napari.org/) (see -[Visualisation](/documentation/brainreg/user-guide/visualisation.md)) for easy visualisation of the results. - -To view your data, run `napari` from the same terminal/command as you ran brainreg (or open a new one and activate -your conda environment). You can then drag and drop the `brainreg_output` directory into napari, and see the results. -::: +9. At this point, registration is complete. A number of +[files are created in the output directory](documentation/brainreg/user-guide/output-files) that can be used for +downstream analysis. :::{note} The results are likely not perfect because (for speed and simplicity) we: @@ -127,3 +55,8 @@ The results are likely not perfect because (for speed and simplicity) we: * Use a low-resolution atlas * Left all the parameters as default (which were optimised for higher resolution atlases) ::: + + +```{hint} +For full information on how to use brainreg, please see the [brainreg page](/documentation/brainreg/index) +``` \ No newline at end of file From 1498834e9563787b96b502b4ba5ccec6ab13b8a7 Mon Sep 17 00:00:00 2001 From: Adam Tyson Date: Tue, 31 Oct 2023 18:15:18 +0000 Subject: [PATCH 4/4] Rename tutorial sections --- docs/source/tutorials/index.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/docs/source/tutorials/index.md b/docs/source/tutorials/index.md index a0578083..050e2f3c 100644 --- a/docs/source/tutorials/index.md +++ b/docs/source/tutorials/index.md @@ -1,6 +1,6 @@ # Tutorials -## Introductory tutorials +## Getting started ::::{grid} 1 2 2 3 :gutter: 3 @@ -19,12 +19,11 @@ Registering a whole-brain dataset to an atlas. ::: :::: -## Application tutorials +## Specific applications ::::{grid} 1 2 2 3 :gutter: 3 - :::{grid-item-card} {fas}`brain;sd-text-primary` Probe segmentation :img-bottom: images/probes.png :link: silicon-probe-tracking @@ -59,4 +58,4 @@ silicon-probe-tracking tracing-tracking cellfinder-cli/index -``` \ No newline at end of file +```