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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 0x7f557050f7e0>
<function explore_slices.<locals>.display_slice at 0x7fc333d22e80>



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 0x7f556fff8220>
<function explore_slices.<locals>.display_slice at 0x7fc333e57b00>



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 10.885 seconds)
**Total running time of the script:** (0 minutes 10.449 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 0x7f8522b3df10>
<matplotlib.image.AxesImage object at 0x7f253c2aef60>
Expand Down Expand Up @@ -375,7 +375,7 @@ 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 14.539 seconds)
**Total running time of the script:** (0 minutes 13.293 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 5.007 seconds)
**Total running time of the script:** (0 minutes 4.253 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 2.019 seconds)
**Total running time of the script:** (0 minutes 2.013 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(0.2750755335950482)
np.float64(0.2657697864891008)
Expand Down Expand Up @@ -281,7 +281,7 @@ would give us a good measure of how strong the association is.

.. code-block:: none
PCC: 0.852, p-val: 0
PCC: 0.851, 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 1.996 seconds)
**Total running time of the script:** (0 minutes 1.799 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 29.555 seconds)
**Total running time of the script:** (0 minutes 28.436 seconds)


.. _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

**Total running time of the script:** (0 minutes 0.476 seconds)
**Total running time of the script:** (0 minutes 0.463 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_face_detection.py:
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Expand Up @@ -64,6 +64,9 @@ scikit-image.
.. raw:: html
:file: images/sphx_glr_plot_fluorescence_nuclear_envelope_001.html




Expand Down Expand Up @@ -119,9 +122,6 @@ 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 @@ -290,6 +290,9 @@ Let us visualize these processing steps in a sequence of subplots.
:srcset: /auto_examples/applications/images/sphx_glr_plot_fluorescence_nuclear_envelope_002.png
:class: sphx-glr-single-img

.. raw:: html
:file: images/sphx_glr_plot_fluorescence_nuclear_envelope_003.html




Expand Down Expand Up @@ -324,9 +327,9 @@ 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_004.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_004.png
:class: sphx-glr-single-img


Expand Down Expand Up @@ -597,9 +600,9 @@ 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_005.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_005.png
:class: sphx-glr-single-img


Expand All @@ -615,7 +618,7 @@ time points, and then becomes roughly constant.

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

**Total running time of the script:** (0 minutes 2.750 seconds)
**Total running time of the script:** (0 minutes 2.638 seconds)


.. _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 56.627s, plus 2.307s training, for an AUC of 1.00. Computing the restricted feature set took 0.096s, plus 1.612s training, for an AUC of 1.00.
Computing the full feature set took 30.050s, plus 2.754s training, for an AUC of 1.00. Computing the restricted feature set took 0.169s, plus 2.309s training, for an AUC of 1.00.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 3.826 seconds)
**Total running time of the script:** (0 minutes 39.057 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_haar_extraction_selection_classification.py:
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Expand Up @@ -447,9 +447,6 @@ label with argument `bg_label=0`.
:srcset: /auto_examples/applications/images/sphx_glr_plot_human_mitosis_006.png
:class: sphx-glr-single-img

.. raw:: html
:file: images/sphx_glr_plot_human_mitosis_007.html




Expand Down Expand Up @@ -522,7 +519,7 @@ cells in this sample. Therefore, we estimate the mitotic index to be:
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 3.645 seconds)
**Total running time of the script:** (0 minutes 2.826 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_human_mitosis.py:
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Expand Up @@ -192,7 +192,7 @@ Blend

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

**Total running time of the script:** (0 minutes 2.704 seconds)
**Total running time of the script:** (0 minutes 2.690 seconds)


.. _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 0x7fa3c29ea0c0>
<matplotlib.image.AxesImage object at 0x7ff7464f6690>
Expand Down Expand Up @@ -464,7 +464,7 @@ Additional Resources
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.184 seconds)
**Total running time of the script:** (0 minutes 2.187 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_morphology.py:
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Expand Up @@ -199,7 +199,7 @@ to the position of the centroid!

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

**Total running time of the script:** (1 minutes 31.031 seconds)
**Total running time of the script:** (1 minutes 20.974 seconds)


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

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

**Total running time of the script:** (0 minutes 42.124 seconds)
**Total running time of the script:** (0 minutes 44.000 seconds)


.. _sphx_glr_download_auto_examples_applications_plot_rank_filters.py:
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