From 995d887cbe6cbb99122acfe3837bb4106a303754 Mon Sep 17 00:00:00 2001 From: bugraoezdemir <91956472+bugraoezdemir@users.noreply.github.com> Date: Tue, 1 Oct 2024 15:24:42 +0200 Subject: [PATCH 1/6] add figures --- figures/n5-ij/collection.svg | 203 ++++++++++++++++++ figures/n5-ij/cropped_dataset1.png | Bin 0 -> 49183 bytes figures/n5-ij/detect_datasets.png | Bin 0 -> 37334 bytes figures/n5-ij/image1-26.png | Bin 0 -> 24180 bytes figures/n5-ij/opened_dataset1.png | Bin 0 -> 92223 bytes figures/n5-ij/select_dataset1.png | Bin 0 -> 59413 bytes figures/n5-ij/select_dataset_and_crop1.png | Bin 0 -> 24180 bytes figures/n5-ij/select_dataset_and_crop2.png | Bin 0 -> 55073 bytes figures/n5-viewer/extract_dataset.png | Bin 0 -> 2894265 bytes figures/n5-viewer/extract_dataset_ok.png | Bin 0 -> 1335495 bytes figures/n5-viewer/extracted_image.png | Bin 0 -> 1710485 bytes figures/n5-viewer/open_multiscales_detect.png | Bin 0 -> 75189 bytes .../open_multiscales_object_effective.png | Bin 0 -> 267995 bytes figures/n5-viewer/opened_multiscales.png | Bin 0 -> 159687 bytes 14 files changed, 203 insertions(+) create mode 100644 figures/n5-ij/collection.svg create mode 100644 figures/n5-ij/cropped_dataset1.png create mode 100644 figures/n5-ij/detect_datasets.png create mode 100644 figures/n5-ij/image1-26.png create mode 100644 figures/n5-ij/opened_dataset1.png create mode 100644 figures/n5-ij/select_dataset1.png create mode 100644 figures/n5-ij/select_dataset_and_crop1.png create mode 100644 figures/n5-ij/select_dataset_and_crop2.png create mode 100644 figures/n5-viewer/extract_dataset.png create mode 100644 figures/n5-viewer/extract_dataset_ok.png create mode 100644 figures/n5-viewer/extracted_image.png create mode 100644 figures/n5-viewer/open_multiscales_detect.png create mode 100644 figures/n5-viewer/open_multiscales_object_effective.png create mode 100644 figures/n5-viewer/opened_multiscales.png diff --git a/figures/n5-ij/collection.svg b/figures/n5-ij/collection.svg new 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zPrPRR*Buk}X|vgr_Qbh;!EkfWsMpcaIoAL6Dr)&Mm($H~QsH8+s;$k&kQ0c~7_N#r ztYY*!1_uT8Uv_{^CjnBV@`WCfVqoWiI+zY|k?;c(h-#A>5nEO3WVc<@1=(0o4XkW! z*T4>AwVVW{H=ZeJ70iSJ5WoP4PaD&oO}>QJpp4oesG++Oa0qRbKO_v@otGAKI0{je z@`ZvhK~GhEYo^7M%jG;C55NKuV_4%1*zf`N8}2;u^MXFyn{X2xd3Q9Q&1OHJA0Ch_ zlZ6ymSo|7BTj{e84zdhkHh+j8jFaox{gl^_~1_3=4*^=5YMqFxW%LL(AfkfFnmnz>JtW=l|}ld3AZohx1vvRl0k-{C(A_ zWira|TM>6Pp^^)V6n~K7Bagr8MA`d_FExB+#n5_HTWaVNzdEGuu6}{|w`e&(ORUD< i-Gu+gSA>FpC^yHnOOM5x Date: Tue, 1 Oct 2024 15:26:53 +0200 Subject: [PATCH 2/6] Add files via upload --- .../ome_zarr_open_java_n5-ij-viewer.md | 53 +++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 _includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md diff --git a/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md new file mode 100644 index 00000000..56e4664d --- /dev/null +++ b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md @@ -0,0 +1,53 @@ +### Open a remote OME-Zarr in Fiji +- Open the n5-ij in Fiji via: + - `[ File > Import > HDF5/N5/Zarr/OME-NGFF ... ]` +- In the window that opens, paste the following path in the uri space: + - `https://s3.embl.de/ome-zarr-course/data/commons/xyz_8bit_calibrated__fib_sem_crop.ome.zarr` +- Then click `Detect datasets` button as shown below: +![](figures/n5-ij/detect_datasets.png) +- The tool will display a multiscales schema with two datasets in the dialog box. +Select one of the datasets as shown below and click OK: +![](figures/n5-ij/select_dataset1.png) +- This will open the dataset in Fiji as a normal Fiji image (see below). +![](figures/n5-ij/opened_dataset1.png) +### Open a subset of a remote OME-Zarr in Fiji +- Follow the same steps above do select a dataset but instead of directly opening the dataset, +click the crop button in the window before clicking OK as shown below: +![](figures/n5-ij/select_dataset_and_crop2.png) +- In the window that open, select the indices of the subset as shown below: +![](figures/n5-ij/select_dataset_and_crop1.png) +- When you click OK, the specified subset of the image will be opened as shown below: +![](figures/n5-ij/cropped_dataset1.png) + +### Open a remote OME-Zarr in BigDataViewer + +Now let's imagine the dataset you want to open is too large to fit the RAM of your machine. + +- Open the n5-viewer in Fiji via: + - `[ Plugins > BigDataViewer > HDF5/N5/Zarr/OME-NGFF Viewer ]` +- In the window that opens, paste the following path in the uri space: + - `https://s3.embl.de/i2k-2020/platy-raw.ome.zarr` +- Then click `Detect datasets` button as shown below: +![](figures/n5-viewer/open_multiscales_detect.png) +- The tool will display a multiscales schema with 9 datasets in the dialog box. +In this case, one can either open the individual datasets or the entire pyramid. +To do the latter, click on the multiscale object and then click OK as shown below: +![](figures/n5-viewer/open_multiscales_object_effective.png) +- This will open the multiscales object in BDV as shown below: +![](figures/n5-viewer/opened_multiscales.png) + -This is a huge (terabyte-scale) image, which is not amenable to processing as a whole +in Fiji. It is possible, however, to extract subsets of it to Fiji and continue with +processing. To do so, follow the steps below: +- In the BDV window, open the cropping window via: \ +`[ Tools > Extract to ImageJ ]` (also see below) +![](figures/n5-viewer/extract_dataset.png) +- In the cropping window that opens, select the indices of the subset as shown below: +![](figures/n5-viewer/extract_dataset_ok.png) +Note that this step may require rotating the image until finding the optimal bounding +box. It is also important to check the size of the cropped volume at the top of the +cropping window to make sure the cropped volume is within the RAM. 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zND7m{fOek$8KqS#m}GnD_;t&_m7kX7x#jr&rd_ekp#R#($ZDQ`k`qv5#ZF9Qy56MH z2>(XJFHgfR5jVC58_LV!MQYCKwo+fO((td5iTwAt>n`Y0^UDIzDz)AjbK~v$qwql) W2_o~Wz^^dCkBr1e@hVZH!2bgl<&Z=G From 7ddfdf8abd6d0da8846887a15882ad14deaff17c Mon Sep 17 00:00:00 2001 From: bugraoezdemir <91956472+bugraoezdemir@users.noreply.github.com> Date: Tue, 1 Oct 2024 17:05:23 +0200 Subject: [PATCH 4/6] Update ome_zarr_open_java_n5-ij-viewer.md --- .../ome_zarr_open_java_n5-ij-viewer.md | 68 +++++++++++-------- 1 file changed, 41 insertions(+), 27 deletions(-) diff --git a/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md index 56e4664d..777fc6f1 100644 --- a/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md +++ b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md @@ -1,23 +1,30 @@ ### Open a remote OME-Zarr in Fiji - Open the n5-ij in Fiji via: - `[ File > Import > HDF5/N5/Zarr/OME-NGFF ... ]` + - In the window that opens, paste the following path in the uri space: - `https://s3.embl.de/ome-zarr-course/data/commons/xyz_8bit_calibrated__fib_sem_crop.ome.zarr` -- Then click `Detect datasets` button as shown below: -![](figures/n5-ij/detect_datasets.png) + +- Then click `Detect datasets` button as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/detect_datasets.png) + - The tool will display a multiscales schema with two datasets in the dialog box. -Select one of the datasets as shown below and click OK: -![](figures/n5-ij/select_dataset1.png) -- This will open the dataset in Fiji as a normal Fiji image (see below). -![](figures/n5-ij/opened_dataset1.png) +Select one of the datasets as shown below and click OK:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset1.png) + +- This will open the dataset in Fiji as a normal Fiji image (see below).
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/opened_dataset1.png) + ### Open a subset of a remote OME-Zarr in Fiji - Follow the same steps above do select a dataset but instead of directly opening the dataset, -click the crop button in the window before clicking OK as shown below: -![](figures/n5-ij/select_dataset_and_crop2.png) -- In the window that open, select the indices of the subset as shown below: -![](figures/n5-ij/select_dataset_and_crop1.png) -- When you click OK, the specified subset of the image will be opened as shown below: -![](figures/n5-ij/cropped_dataset1.png) +click the crop button in the window before clicking OK as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset_and_crop2.png) + +- In the window that open, select the indices of the subset as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset_and_crop1.png) + +- When you click OK, the specified subset of the image will be opened as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/cropped_dataset1.png) ### Open a remote OME-Zarr in BigDataViewer @@ -25,29 +32,36 @@ Now let's imagine the dataset you want to open is too large to fit the RAM of yo - Open the n5-viewer in Fiji via: - `[ Plugins > BigDataViewer > HDF5/N5/Zarr/OME-NGFF Viewer ]` + - In the window that opens, paste the following path in the uri space: - `https://s3.embl.de/i2k-2020/platy-raw.ome.zarr` -- Then click `Detect datasets` button as shown below: -![](figures/n5-viewer/open_multiscales_detect.png) + +- Then click `Detect datasets` button as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/open_multiscales_detect.png) + - The tool will display a multiscales schema with 9 datasets in the dialog box. In this case, one can either open the individual datasets or the entire pyramid. -To do the latter, click on the multiscale object and then click OK as shown below: -![](figures/n5-viewer/open_multiscales_object_effective.png) -- This will open the multiscales object in BDV as shown below: -![](figures/n5-viewer/opened_multiscales.png) +To do the latter, click on the multiscale object and then click OK as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/open_multiscales_object_effective.png) + +- This will open the multiscales object in BDV as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/opened_multiscales.png) -This is a huge (terabyte-scale) image, which is not amenable to processing as a whole in Fiji. It is possible, however, to extract subsets of it to Fiji and continue with processing. To do so, follow the steps below: -- In the BDV window, open the cropping window via: \ + +- In the BDV window, open the cropping window via:
    `[ Tools > Extract to ImageJ ]` (also see below) -![](figures/n5-viewer/extract_dataset.png) -- In the cropping window that opens, select the indices of the subset as shown below: -![](figures/n5-viewer/extract_dataset_ok.png) +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extract_dataset.png) + +- In the cropping window that opens, select the indices of the subset as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extract_dataset_ok.png) Note that this step may require rotating the image until finding the optimal bounding box. It is also important to check the size of the cropped volume at the top of the -cropping window to make sure the cropped volume is within the RAM. Once you are fine +cropping window to make sure that it is not larger than the memory. Once you are fine with the settings, click OK. -- The output is a standard Fiji image as shown below: -![](figures/n5-viewer/extracted_image.png) -Note that this image is loaded into the RAM; as such, it can be processed like any other -Fiji image and saved to any desired format. \ No newline at end of file + +- The output is a standard Fiji image as shown below:
    +![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extracted_image.png) +Note that this image has been loaded into the RAM; as such, it can be processed like any other +Fiji image and saved to any desired file format. From 4dd0ad69ee365c5be205cd1b3e7f85a5b9dd3a5c Mon Sep 17 00:00:00 2001 From: bugraoezdemir <91956472+bugraoezdemir@users.noreply.github.com> Date: Tue, 1 Oct 2024 17:10:30 +0200 Subject: [PATCH 5/6] Update ome_zarr.md --- _modules/ome_zarr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_modules/ome_zarr.md b/_modules/ome_zarr.md index 1f4be04b..a6e0bdab 100644 --- a/_modules/ome_zarr.md +++ b/_modules/ome_zarr.md @@ -23,7 +23,7 @@ figure_legend: multiactivities: - ["ome_zarr/ome_zarr_inspection.md", [["minio-client", "ome_zarr/ome_zarr_inspection_minio-client.md"], ["ome-zarr-py","ome_zarr/ome_zarr_inspection_ome-zarr-py.md"]]] - ["ome_zarr/ome_zarr_creation.md", [["BatchConvert", "ome_zarr/ome_zarr_creation_BatchConvert.md"]]] - - ["ome_zarr/ome_zarr_open_java.md", [["Fiji/MoBIE", "ome_zarr/ome_zarr_open_java_mobie.md"]]] + - ["ome_zarr/ome_zarr_open_java.md", [["Fiji/MoBIE", "ome_zarr/ome_zarr_open_java_mobie.md"], ["Fiji/n5-ij-viewer", "ome_zarr/ome_zarr_open_java_n5-ij-viewer.md"]]] - ["ome_zarr/ome_zarr_visualisation.md", [ ["napari","ome_zarr/ome_zarr_visualisation_napari.md"], ["Fiji/MoBIE", "ome_zarr/ome_zarr_visualisation_s3_mobie.md"], ["Neuroglancer","ome_zarr/ome_zarr_visualisation_s3_neuroglancer.md"], ["vizarr","ome_zarr/ome_zarr_visualisation_s3_vizarr.md"]]] - ["ome_zarr/ome_zarr_segmentation.md", [["ZarrSeg", "ome_zarr/ome_zarr_segmentation_zseg.md"]]] From 9f1550138e4206828a2133375e9ea4ac98dd4b05 Mon Sep 17 00:00:00 2001 From: bugraoezdemir Date: Wed, 16 Oct 2024 17:30:52 +0200 Subject: [PATCH 6/6] update ome-zarr-open-java --- .../ome_zarr_open_java_n5-ij-viewer.md | 72 +++++++++++-------- 1 file changed, 43 insertions(+), 29 deletions(-) diff --git a/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md index 777fc6f1..37b7ba5c 100644 --- a/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md +++ b/_includes/ome_zarr/ome_zarr_open_java_n5-ij-viewer.md @@ -1,67 +1,81 @@ + + ### Open a remote OME-Zarr in Fiji - Open the n5-ij in Fiji via: - - `[ File > Import > HDF5/N5/Zarr/OME-NGFF ... ]` + - `[ File > Import > HDF5/N5/Zarr/OME-NGFF ... ]`

    -- In the window that opens, paste the following path in the uri space: - - `https://s3.embl.de/ome-zarr-course/data/commons/xyz_8bit_calibrated__fib_sem_crop.ome.zarr` +- In the window that opens, paste the following path in the uri space: + - `https://s3.embl.de/ome-zarr-course/data/commons/xyz_8bit_calibrated__fib_sem_crop.ome.zarr`

    -- Then click `Detect datasets` button as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/detect_datasets.png) +- Then click `Detect datasets` button as shown below: +Detect Datasets

    -- The tool will display a multiscales schema with two datasets in the dialog box. -Select one of the datasets as shown below and click OK:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset1.png) +- The tool will display a multiscales schema with two datasets in the dialog box. +Select one of the datasets as shown below and click OK: +Detect Datasets

    -- This will open the dataset in Fiji as a normal Fiji image (see below).
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/opened_dataset1.png) +- This will open the dataset in Fiji as a normal Fiji image (see below). +Detect Datasets

    -### Open a subset of a remote OME-Zarr in Fiji +

    Open a subset of a remote OME-Zarr in Fiji

    - Follow the same steps above do select a dataset but instead of directly opening the dataset, click the crop button in the window before clicking OK as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset_and_crop2.png) +Detect Datasets

    - In the window that open, select the indices of the subset as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/select_dataset_and_crop1.png) +Detect Datasets

    - When you click OK, the specified subset of the image will be opened as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-ij/cropped_dataset1.png) +Detect Datasets

    ### Open a remote OME-Zarr in BigDataViewer Now let's imagine the dataset you want to open is too large to fit the RAM of your machine. - Open the n5-viewer in Fiji via: - - `[ Plugins > BigDataViewer > HDF5/N5/Zarr/OME-NGFF Viewer ]` + - `[ Plugins > BigDataViewer > HDF5/N5/Zarr/OME-NGFF Viewer ]`

    - In the window that opens, paste the following path in the uri space: - - `https://s3.embl.de/i2k-2020/platy-raw.ome.zarr` + - `https://s3.embl.de/i2k-2020/platy-raw.ome.zarr`

    - Then click `Detect datasets` button as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/open_multiscales_detect.png) +Detect Datasets

    - The tool will display a multiscales schema with 9 datasets in the dialog box. In this case, one can either open the individual datasets or the entire pyramid. To do the latter, click on the multiscale object and then click OK as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/open_multiscales_object_effective.png) +Detect Datasets

    - This will open the multiscales object in BDV as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/opened_multiscales.png) - -This is a huge (terabyte-scale) image, which is not amenable to processing as a whole -in Fiji. It is possible, however, to extract subsets of it to Fiji and continue with -processing. To do so, follow the steps below: +Detect Datasets

    + +- This is a huge (terabyte-scale) image, which is not amenable to processing as a whole +in Fiji. It is possible, however, to extract subsets of it to Fiji and continue with processing. To do so, follow the steps below:

    - In the BDV window, open the cropping window via:
    `[ Tools > Extract to ImageJ ]` (also see below) -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extract_dataset.png) + +Detect Datasets

    - In the cropping window that opens, select the indices of the subset as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extract_dataset_ok.png) -Note that this step may require rotating the image until finding the optimal bounding -box. It is also important to check the size of the cropped volume at the top of the -cropping window to make sure that it is not larger than the memory. Once you are fine +Detect Datasets
    +Note that this step may require incremental rotation of the image and adjustment of the bounding box until +the desired region of interest is obtained. It is also important to check the size of the cropped volume +at the top of the cropping window to make sure that it is not larger than the memory. Once you are fine with the settings, click OK. - +

    - The output is a standard Fiji image as shown below:
    -![](https://github.com/NEUBIAS/training-resources/blob/ome_zarr/figures/n5-viewer/extracted_image.png) +Detect Datasets

    + Note that this image has been loaded into the RAM; as such, it can be processed like any other Fiji image and saved to any desired file format.

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