diff --git a/docs/data_formats.md b/docs/data_formats.md index c90ed65843..b0bffb4f51 100644 --- a/docs/data_formats.md +++ b/docs/data_formats.md @@ -41,8 +41,8 @@ A WEBKNOSSOS dataset can contain several `color` and `segmentation` layers which ### Magnification Steps and Downsampling -To enable zooming within huge datasets in WEBKNOSSOS, dataset layers usually contain multiple magnification steps (also called mipmaps or image pyramids or resolutions). -`1` is the magnification step with the finest resolution, i.e. the original data. +To enable zooming within huge datasets in WEBKNOSSOS, dataset layers usually contain multiple magnification steps (also called mags, mipmaps, image pyramids or resolutions). +`1` is the magnification step with the finest magnification, i.e. the original data. `2` is downsampled by a factor of two in all dimensions and therefore only is an eighth of the file size of the original data. Downsampling is done in power-of-two steps: `1, 2, 4, 8, 16, 32, 64, …` diff --git a/docs/neuroglancer_precomputed.md b/docs/neuroglancer_precomputed.md index b73a82c8c3..fb5c579b56 100644 --- a/docs/neuroglancer_precomputed.md +++ b/docs/neuroglancer_precomputed.md @@ -28,7 +28,7 @@ WEBKNOSSOS expects the following file structure for Neuroglancer Precomputed dat ``` my_dataset.precomputed # One root folder per dataset ├─ info # Dataset [metadata in JSON format](https://github.com/google/neuroglancer/blob/master/src/neuroglancer/datasource/precomputed/volume.md#info-json-file-specification) -├─ scale_1 # One subdirectory with the same name as each scale/magnification "key" value specified in the info file. Each subdirectory contains a chunked representation of the data for a single resolution. +├─ scale_1 # One subdirectory with the same name as each scale/magnification "key" value specified in the info file. Each subdirectory contains a chunked representation of the data for a single mag. │  ├─ │  └─ ... ├─ ...