Update documentation

Author: PierreRaybaut

en/.doctrees/environment.pickle

@@ -44,6 +44,19 @@ At the heart of this architectural shift lies a new object-oriented processing l
 
 The talk will highlight the key features of DataLab 1.0, including its redesigned architecture and new user-facing functionalities, and will demonstrate how it can serve both as a ready-to-use application and as a foundation for building domain-specific tools in scientific and industrial contexts.
 
+Watch the Full Presentation
+---------------------------
+
+.. raw:: html
+
+   <div style="max-width: 800px; margin: 2em auto;">
+   <div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;">
+   <iframe src="https://www.youtube.com/embed/0D4ffBJIc5Q"
+   style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"
+   frameborder="0" allowfullscreen></iframe>
+   </div>
+   </div>
+
 Original Planned Topic
 ----------------------
 
@@ -145,18 +158,6 @@ The originally planned X-ray scene reconstruction project remains an excellent e
 
    **Past Event**: This presentation took place on **December 11, 2025**. Presentation materials and additional information may be added here in the future.
 
-Conference Track
-----------------
-
-The presentation is part of the **Artificial Intelligence and Scientific Computing** track, which is appropriate for DataLab 1.0's positioning at the intersection of:
-
-- Modern scientific computing (signal and image processing)
-- Platform architecture and modular design
-- Open-source development methodologies
-- Industrial and academic applications
-
-This track placement highlights DataLab's evolution as both a complete scientific application and a foundation for building specialized tools in the scientific Python ecosystem.
-
 Resources
 ---------
 

en/.doctrees/outreach/osxp2025.doctree

@@ -1010,7 +1010,7 @@ <h2>Windowing<a class="headerlink" href="#windowing" title="Link to this heading
 <td><p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.windows.barthann.html#scipy.signal.windows.barthann" title="(in SciPy v1.16.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.signal.windows.barthann()</span></code></a></p></td>
 </tr>
 <tr class="row-odd"><td><p>Bartlett</p></td>
-<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.bartlett.html#numpy.bartlett" title="(in NumPy v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.bartlett()</span></code></a></p></td>
+<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.bartlett.html#numpy.bartlett" title="(in NumPy v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.bartlett()</span></code></a></p></td>
 </tr>
 <tr class="row-even"><td><p>Blackman</p></td>
 <td><p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.windows.blackman.html#scipy.signal.windows.blackman" title="(in SciPy v1.16.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.signal.windows.blackman()</span></code></a></p></td>
@@ -1037,10 +1037,10 @@ <h2>Windowing<a class="headerlink" href="#windowing" title="Link to this heading
 <td><p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.windows.gaussian.html#scipy.signal.windows.gaussian" title="(in SciPy v1.16.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.signal.windows.gaussian()</span></code></a></p></td>
 </tr>
 <tr class="row-even"><td><p>Hamming</p></td>
-<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.hamming.html#numpy.hamming" title="(in NumPy v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.hamming()</span></code></a></p></td>
+<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.hamming.html#numpy.hamming" title="(in NumPy v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.hamming()</span></code></a></p></td>
 </tr>
 <tr class="row-odd"><td><p>Hann</p></td>
-<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.hanning.html#numpy.hanning" title="(in NumPy v2.3)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.hanning()</span></code></a></p></td>
+<td><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.hanning.html#numpy.hanning" title="(in NumPy v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.hanning()</span></code></a></p></td>
 </tr>
 <tr class="row-even"><td><p>Kaiser</p></td>
 <td><p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.windows.kaiser.html#scipy.signal.windows.kaiser" title="(in SciPy v1.16.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.signal.windows.kaiser()</span></code></a></p></td>

en/_images/s_beautiful.png

@@ -621,7 +621,7 @@ <h3>Signal Compute Functions<a class="headerlink" href="#signal-compute-function
 </thead>
 <tbody>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">absolute</span></code></p></td>
-<td><p>Compute absolute value with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.absolute.html#numpy.absolute" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.absolute</span></code></a></p></td>
+<td><p>Compute absolute value with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.absolute.html#numpy.absolute" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.absolute</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/operation_unit_test.py#L229">test_signal_absolute</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">add_gaussian_noise</span></code></p></td>
@@ -745,7 +745,7 @@ <h3>Signal Compute Functions<a class="headerlink" href="#signal-compute-function
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/fitting_unit_test.py#L842">test_signal_evaluate_fit</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">exp</span></code></p></td>
-<td><p>Compute exponential with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.exp.html#numpy.exp" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.exp</span></code></a></p></td>
+<td><p>Compute exponential with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.exp.html#numpy.exp" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.exp</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/operation_unit_test.py#L365">test_signal_exp</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">exponential_fit</span></code></p></td>
@@ -825,7 +825,7 @@ <h3>Signal Compute Functions<a class="headerlink" href="#signal-compute-function
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/fitting_unit_test.py#L110">test_signal_linear_fit</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">log10</span></code></p></td>
-<td><p>Compute Log10 with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
+<td><p>Compute Log10 with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/operation_unit_test.py#L373">test_signal_log10</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">lorentzian_fit</span></code></p></td>
@@ -889,7 +889,7 @@ <h3>Signal Compute Functions<a class="headerlink" href="#signal-compute-function
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/fitting_unit_test.py#L144">test_polynomial_fit</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">power</span></code></p></td>
-<td><p>Compute power with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.power.html#numpy.power" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.power</span></code></a></p></td>
+<td><p>Compute power with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.power.html#numpy.power" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.power</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/operation_unit_test.py#L389">test_signal_power</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">product</span></code></p></td>
@@ -941,7 +941,7 @@ <h3>Signal Compute Functions<a class="headerlink" href="#signal-compute-function
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/fitting_unit_test.py#L749">test_sinusoidal_fit</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">sqrt</span></code></p></td>
-<td><p>Compute square root with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sqrt.html#numpy.sqrt" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.sqrt</span></code></a></p></td>
+<td><p>Compute square root with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sqrt.html#numpy.sqrt" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.sqrt</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/signal/operation_unit_test.py#L381">test_signal_sqrt</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">standard_deviation</span></code></p></td>
@@ -1027,7 +1027,7 @@ <h3>Image Compute Functions<a class="headerlink" href="#image-compute-functions"
 </thead>
 <tbody>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">absolute</span></code></p></td>
-<td><p>Compute absolute value with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.absolute.html#numpy.absolute" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.absolute</span></code></a></p></td>
+<td><p>Compute absolute value with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.absolute.html#numpy.absolute" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.absolute</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/operation_unit_test.py#L284">test_image_absolute</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">add_gaussian_noise</span></code></p></td>
@@ -1203,7 +1203,7 @@ <h3>Image Compute Functions<a class="headerlink" href="#image-compute-functions"
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/morphology_unit_test.py#L49">test_erosion</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">exp</span></code></p></td>
-<td><p>Compute exponential with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.exp.html#numpy.exp" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.exp</span></code></a></p></td>
+<td><p>Compute exponential with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.exp.html#numpy.exp" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.exp</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/operation_unit_test.py#L459">test_image_exp</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">extract_roi</span></code></p></td>
@@ -1283,11 +1283,11 @@ <h3>Image Compute Functions<a class="headerlink" href="#image-compute-functions"
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/profile_unit_test.py#L19">test_line_profile</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">log10</span></code></p></td>
-<td><p>Compute log10 with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
+<td><p>Compute log10 with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/operation_unit_test.py#L471">test_image_log10</a></p></td>
 </tr>
 <tr class="row-odd"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">log10_z_plus_n</span></code></p></td>
-<td><p>Compute log10(z+n) with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.3)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
+<td><p>Compute log10(z+n) with <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.log10.html#numpy.log10" title="(in NumPy v2.4)"><code class="xref py py-data docutils literal notranslate"><span class="pre">numpy.log10</span></code></a></p></td>
 <td><p><a class="reference external" href="https://github.com/DataLab-Platform/Sigima/blob/v1.0.5/sigima/tests/image/operation_unit_test.py#L483">test_image_log10_z_plus_n</a></p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">magnitude_spectrum</span></code></p></td>