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Expand Up @@ -351,7 +351,7 @@ will not work either.
interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))

<function explore_slices.<locals>.display_slice at 0x7fc90c123880>
<function explore_slices.<locals>.display_slice at 0x7efecd7c9940>



Expand Down Expand Up @@ -473,7 +473,7 @@ slices interactively.
interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))

<function explore_slices.<locals>.display_slice at 0x7fc90c174a40>
<function explore_slices.<locals>.display_slice at 0x7efec5db6480>



Expand Down Expand Up @@ -584,7 +584,7 @@ Note that this works in a static HTML page!

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 10.715 seconds)
**Total running time of the script:** (0 minutes 10.359 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_image_processing.py:
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Expand Up @@ -148,7 +148,7 @@ The `imshow` function can display both grayscale and RGB(A) 2D images.
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [64..4095].
<matplotlib.image.AxesImage object at 0x7fc90e134440>
<matplotlib.image.AxesImage object at 0x7f59f4b362d0>
Expand Down Expand Up @@ -322,6 +322,9 @@ Click the play button to move along the ``z`` axis, through the stack of all
.. raw:: html
:file: images/sphx_glr_plot_3d_interaction_005.html




Expand All @@ -348,6 +351,9 @@ Combine channel facetting and slice animation
.. raw:: html
:file: images/sphx_glr_plot_3d_interaction_006.html




Expand Down Expand Up @@ -375,7 +381,7 @@ The biologist's eye can spot that the two bright blobs (best seen in
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 10.660 seconds)
**Total running time of the script:** (0 minutes 12.684 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_interaction.py:
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Expand Up @@ -524,7 +524,7 @@ we would get the pancake situation.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 4.030 seconds)
**Total running time of the script:** (0 minutes 4.087 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_3d_structure_tensor.py:
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Expand Up @@ -342,7 +342,7 @@ labeled individually.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.970 seconds)
**Total running time of the script:** (0 minutes 2.028 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_coins_segmentation.py:
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Expand Up @@ -177,7 +177,7 @@ much lower than the overlap coefficient.
.. code-block:: none
np.float64(0.22507592864015563)
np.float64(0.20691853925342985)
Expand Down Expand Up @@ -281,7 +281,7 @@ would give us a good measure of how strong the association is.

.. code-block:: none
PCC: 0.81, p-val: 0
PCC: 0.879, p-val: 0
Expand Down Expand Up @@ -309,7 +309,7 @@ case.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.621 seconds)
**Total running time of the script:** (0 minutes 1.681 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_colocalization_metrics.py:
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Expand Up @@ -126,9 +126,6 @@ represented as grayscale.
.. raw:: html
:file: images/sphx_glr_plot_cornea_spot_inpainting_001.html

Expand Down Expand Up @@ -171,9 +168,9 @@ variance.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_002.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_001.png
:alt: Image median over time, Image variance over time
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_002.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_001.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -247,9 +244,9 @@ it is easier for us to compare them:
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_003.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_002.png
:alt: block_size = 21, block_size = 43
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_003.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_002.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -281,9 +278,9 @@ closer to the desired results.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_004.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_003.png
:alt: No offset, Offset = 15
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_004.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_003.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -318,9 +315,9 @@ lines, while preserving the shape and size of larger objects.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_005.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_004.png
:alt: mask before, after opening
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_005.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_004.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -355,9 +352,9 @@ Next, we can make the detected areas wider by applying a dilation filter:
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_006.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_005.png
:alt: Before, After dilation
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_006.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_005.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -464,9 +461,9 @@ parameter).
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_007.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_006.png
:alt: Segmented spots over restored image
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_007.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_cornea_spot_inpainting_006.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -495,7 +492,7 @@ the opening processing step, when removing fine-grained features.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 28.638 seconds)
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.. _sphx_glr_download_auto_examples_applications_plot_cornea_spot_inpainting.py:
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Expand Up @@ -134,7 +134,7 @@ using `OpenCV train cascade utility
.. rst-class:: sphx-glr-timing

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.. _sphx_glr_download_auto_examples_applications_plot_face_detection.py:
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Expand Up @@ -119,9 +119,6 @@ The dataset is a 2D image stack with 15 frames (time points) and 2 channels.
.. raw:: html
:file: images/sphx_glr_plot_fluorescence_nuclear_envelope_001.html

Expand Down Expand Up @@ -285,9 +282,9 @@ Let us visualize these processing steps in a sequence of subplots.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_002.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_001.png
:alt: a) Raw, b) Blur, c) Threshold, c-1) Fill in, c-2) Keep one nucleus, d) Dilate, e) Erode, f) Nucleus Rim
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_002.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_001.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -324,9 +321,9 @@ it as a mask to measure the intensity in the second channel.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_003.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_002.png
:alt: Second channel (raw), Selection
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_003.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_002.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -597,9 +594,9 @@ regions.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_004.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_003.png
:alt: Change in fluorescence intensity at the nuclear envelope
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_004.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_003.png
:class: sphx-glr-single-img


Expand All @@ -615,7 +612,7 @@ time points, and then becomes roughly constant.

.. rst-class:: sphx-glr-timing

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.. _sphx_glr_download_auto_examples_applications_plot_fluorescence_nuclear_envelope.py:
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Expand Up @@ -282,15 +282,15 @@ Once the features are extracted, we can train and test a new classifier.

.. code-block:: none
Computing the full feature set took 54.979s, plus 2.687s training, for an AUC of 1.00. Computing the restricted feature set took 0.096s, plus 1.594s training, for an AUC of 1.00.
Computing the full feature set took 54.658s, plus 2.710s training, for an AUC of 1.00. Computing the restricted feature set took 0.164s, plus 1.944s training, for an AUC of 1.00.
.. rst-class:: sphx-glr-timing

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.. _sphx_glr_download_auto_examples_applications_plot_haar_extraction_selection_classification.py:
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Expand Up @@ -186,9 +186,6 @@ resort to :ref:`sphx_glr_auto_examples_segmentation_plot_multiotsu.py`.
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_003.png
:class: sphx-glr-single-img

.. raw:: html
:file: images/sphx_glr_plot_human_mitosis_004.html




Expand Down Expand Up @@ -297,9 +294,9 @@ is underestimated.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_005.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_004.png
:alt: Original, Dividing nuclei?, All nuclei?
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_005.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_004.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -348,9 +345,9 @@ by dichotomy, visually and manually.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_006.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_005.png
:alt: Dividing nuclei
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_006.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_005.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -445,9 +442,9 @@ label with argument `bg_label=0`.
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_007.png
.. image-sg:: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_006.png
:alt: Overlapping nuclei, Segmented nuclei
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_007.png
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_006.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -522,7 +519,7 @@ cells in this sample. Therefore, we estimate the mitotic index to be:
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.. _sphx_glr_download_auto_examples_applications_plot_human_mitosis.py:
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Expand Up @@ -192,7 +192,7 @@ Blend

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.. _sphx_glr_download_auto_examples_applications_plot_image_comparison.py:
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Expand Up @@ -70,7 +70,7 @@ functions only work on gray-scale or binary images, so we set ``as_gray=True``.
.. code-block:: none
<matplotlib.image.AxesImage object at 0x7f56520f5940>
<matplotlib.image.AxesImage object at 0x7efed1ba56d0>
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Expand Up @@ -199,7 +199,7 @@ to the position of the centroid!

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.. _sphx_glr_download_auto_examples_applications_plot_pixel_graphs.py:
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Expand Up @@ -1104,7 +1104,7 @@ on increasing image size:

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.. _sphx_glr_download_auto_examples_applications_plot_rank_filters.py:
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