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    <title>PyPI recent updates for mitoclass</title>
    <link>https://pypi.org/project/mitoclass/</link>
    <description>Recent updates to the Python Package Index for mitoclass</description>
    <language>en</language>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/mitoclass/1.0.3/</link>
      <description>MitoClass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
      <pubDate>Wed, 17 Sep 2025 21:29:37 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/mitoclass/1.0.2/</link>
      <description>MitoClass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
      <pubDate>Wed, 17 Sep 2025 21:23:05 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/mitoclass/1.0.1/</link>
      <description>MitoClass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Wed, 17 Sep 2025 21:09:44 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/mitoclass/1.0.0/</link>
      <description>Mitoclass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Sat, 13 Sep 2025 11:45:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.post3</title>
      <link>https://pypi.org/project/mitoclass/0.1.1.post3/</link>
      <description>Mitoclass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, training or using a model, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Wed, 30 Jul 2025 12:54:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.post2</title>
      <link>https://pypi.org/project/mitoclass/0.1.1.post2/</link>
      <description>Mitoclass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, training or using a model, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Wed, 30 Jul 2025 12:49:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.post1</title>
      <link>https://pypi.org/project/mitoclass/0.1.1.post1/</link>
      <description>Mitoclass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, training or using a model, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Wed, 30 Jul 2025 12:38:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.1.dev5</title>
      <link>https://pypi.org/project/mitoclass/0.1.1.dev5/</link>
      <description>Mitoclass is a napari plugin for classifying mitochondrial morphology from microscopy images: it allows preprocessing data, training or using a model, predicting classes (connected, fragmented, intermediate), visualizing overlays and 3D summaries, and managing a prediction history.</description>
<author>malardjules2@gmail.com</author>      <pubDate>Wed, 30 Jul 2025 11:59:20 GMT</pubDate>
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