diff --git a/docs/source/documentation/brainglobe-atlasapi/usage/atlas-details.md b/docs/source/documentation/brainglobe-atlasapi/usage/atlas-details.md index 5b316afc..75ba8b3f 100644 --- a/docs/source/documentation/brainglobe-atlasapi/usage/atlas-details.md +++ b/docs/source/documentation/brainglobe-atlasapi/usage/atlas-details.md @@ -101,10 +101,10 @@ Available versions: * `kim_dev_mouse_mri_mtr_10um` - MRI MTR (magnetic transfer ratio) template at 10μm resolution * `kim_dev_mouse_mri_t2_10um` - MRI T2 template at 10μm resolution -### [BlueBrain Barrel Cortex Atlas](https://doi.org/10.1162/imag_a_00209) -This atlas from [Bolaños-Puchet et al. (2024)](https://doi.org/10.1162/imag_a_00209) is a version of the Allen -Adult Mouse Brain Atlas with the addition of annotations of 33 barrels and barrel columns. For more details, -please see [the blogpost](/blog/barrel-atlas-added). +### [BlueBrain Barrel Cortex Atlas](https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00209/121852/Enhancement-of-brain-atlases-with-laminar) +This atlas from [Bolaños-Puchet et al. (2024)](https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00209/121852/Enhancement-of-brain-atlases-with-laminar) +is a version of the Allen Adult Mouse Brain Atlas with the addition of annotations of 33 barrels and barrel columns. +For more details, please see [the blogpost](/blog/barrel-atlas-added). Available versions: * `allen_mouse_bluebrain_barrels_10um` - 10μm resolution diff --git a/docs/source/tutorials/tracing-tracking.md b/docs/source/tutorials/tracing-tracking.md index 71314785..cef0b2a1 100644 --- a/docs/source/tutorials/tracing-tracking.md +++ b/docs/source/tutorials/tracing-tracking.md @@ -72,7 +72,7 @@ to find a mask that covers the axonal projections. Before we can proceed to register the axonal tracks in the imaged brain we need to install additional Napari plugins. In this tutorial we will use the [`napari-simpleitk-image-processing`](https://www.napari-hub.org/plugins/napari-simpleitk-image-processing) plugin. This -plugin can either be installed via the [napari plugin menu](https://napari.org/stable/plugins/find_and_install_plugin.html) +plugin can either be installed via the [napari plugin menu](https://napari.org/stable/plugins/start_using_plugins/finding_and_installing_plugins.html) or directly from PyPI on the command-line: ``` pip install napari-simpleitk-image-processing