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micro_sam.html

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@@ -302,7 +302,7 @@ <h2 id="trackastra-installation">Trackastra installation</h2>
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<h2 id="from-installer">From installer</h2>
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<p><strong>Note: The installers are not yet up-to-date with the latest version of microsam (v1.4.0). We will update them in the next few days.</strong></p>
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<p><strong>Note: The installers are not yet up-to-date with the latest version of micro-sam (v1.4.0 onwards). We will update them in the next few weeks.</strong></p>
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<p>We also provide installers for Linux and Windows:</p>
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@@ -525,7 +525,7 @@ <h2 id="object-classification">Object Classification</h2>
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<li>calling <code><a href="micro_sam/sam_annotator/object_classifier.html#object_classifier">micro_sam.sam_annotator.object_classifier.object_classifier</a></code> in a python script.</li>
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</ul>
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<p>When starting this worklfow the following interface opens up.</p>
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<p>When starting this workflow the following interface opens up.</p>
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<p><img src="https://raw.githubusercontent.com/computational-cell-analytics/micro-sam/master/doc/images/object-classifier.png" width="512"></p>
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By clicking <code>Train and predict</code> you train a random forest classifer on the objects you have annotated, that uses the image embeddings projected to the objects as features.
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It is then applied to all objects to obtain the semantic segmentation shown in <code>prediction</code>.</p>
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<p><strong>This worklfow is still experimental. It may significantly change in the future and we are working on a publication to explain the underlying methodology and to document it properly. Feedback is already welcome in case you use it.</strong></p>
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<p><strong>This workflow is still experimental. It may significantly change in the future and we are working on a publication to explain the underlying methodology and to document it properly. Feedback is already welcome in case you use it.</strong></p>
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<h2 id="finetuning-ui">Finetuning UI</h2>
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<ul>
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<li>Use a title "Data submission for micro_sam: ..." ("..." should be a title for your data, e.g. "cells in brightfield microscopy")
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<ul>
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<li>On image.sc use the tag <code>micro-sam</code>.</li>
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<li>On <a href="https://forum.image.sc/">image.sc</a> use the tag <code>micro-sam</code>.</li>
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</ul></li>
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<li>Briefly describe your data and add an image that shows the microscopy data and the segmentation masks you have.</li>
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<li>Make sure to describe:
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<li>Go to the desktop by clicking <strong>GO TO DESKTOP</strong> in the <strong>Running Desktops</strong> menu. See also the screenshot below.</li>
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</ul>
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<p><img src="https://github.com/user-attachments/assets/2e615769-b176-4ced-9507-99553aafb1c1" alt="image" /></p>
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<p><img src="https://github.com/user-attachments/assets/2e615769-b176-4ced-9507-99553aafb1c1" width="1000"/></p>
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<h2 id="start-micro_sam-in-band">Start <code><a href="">micro_sam</a></code> in BAND</h2>
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<ul>
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<li><p>Select <strong>Applications -> Image Analysis -> microSAM</strong> (see screenshot)
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<img src="https://github.com/user-attachments/assets/f1e7af0d-5cc6-442d-95c7-9010f5996e2a" alt="image" /></p></li>
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<li><p>This will open the napari GUI, where you can select the images and annotator tools you want to use (see screenshot). NOTE: this may take a few minutes.
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<img src="https://github.com/user-attachments/assets/23296589-be8d-4f9f-9a38-92d5eea60541" alt="image" /></p></li>
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<img src="https://github.com/user-attachments/assets/23296589-be8d-4f9f-9a38-92d5eea60541" width="1000"/></p></li>
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<li><p>For testing if the tool works, it's best to use the <strong>Annotator 2d</strong> first.</p>
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<ul>
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<li>You can find an example image to use by selection <code>File</code> -> <code>Open Sample</code> -> <code>Segment Anything for Microscopy</code> -> <code>HeLa 2d example data</code> (see screenshot)
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<img src="https://github.com/user-attachments/assets/ac259787-6238-4b68-8739-48a62f169913" alt="image" /></li>
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<img src="https://github.com/user-attachments/assets/ac259787-6238-4b68-8739-48a62f169913" width="1000"/></li>
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</ul></li>
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<li>Then select <code>Plugins</code> -> <code>Segment Anything for Microscopy</code> -> <code>Annotator 2d</code>, and the tool will start.
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<img src="https://github.com/user-attachments/assets/3062e723-6fe0-48f7-835f-663be7d78b87" alt="image" /></li>
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<img src="https://github.com/user-attachments/assets/3062e723-6fe0-48f7-835f-663be7d78b87" width="1000"/></li>
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</ul>
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<h2 id="transfering-data-to-band">Transfering data to BAND</h2>

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