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README.md

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@@ -39,35 +39,12 @@ All of the presentation material for this workshop is available on Zenodo and ca
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<table style="width:100%">
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<tbody>
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<tr>
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<th colspan=3>Tuesday, April 8th 2025</th>
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<th colspan=3>Friday, June 6th 2025</th>
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</tr>
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<tr>
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<td>09:30 - 10:30</td>
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<td colspan=3> Registration</td>
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</tr>
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<tr>
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<td>10:30 - 11:45</td>
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<td>12:00 - 14:20</td>
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<td>Session 1</td>
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<td><p>Introduction - Automated Image Analysis is Essential for Reproducible Science</p><p>Dave Barry</p></td>
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</tr>
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<tr>
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<td></td>
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<td colspan=3>
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<ul>
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<li>Why manual analysis is a bad idea</li>
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<li>Embracing uncertainty</li>
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<li>What is metadata and why do you need it</li>
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</ul>
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</td>
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</tr>
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<tr>
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<td>11:45 - 12:00</td>
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<td colspan=2>Coffee Break</td>
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</tr>
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<tr>
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<td>12:00 - 13:30</td>
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<td>Session 2</td>
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<td><p>Image Pre-Processing, Segmentation & Analysis</p><p>Sara Salgueiro Torres</p></td>
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<td><p>Image Pre-Processing, Segmentation & Analysis</p><p>Dave Barry</p></td>
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<td></td>
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</td>
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<td>13:30 - 13:40</td>
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<td>Tech Bite</td>
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<td><p> How to enhance your experimental workflows through Smart Experiments and JOBs </p><p> Dylan Donnellan, Lennox </p></td>
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</tr>
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<tr>
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<td>13:40 - 14:40</td>
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<td colspan=2>Lunch</td>
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<td>14:20 - 14:50</td>
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<td colspan=2>Coffee Break</td>
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</tr>
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<td>14:40 - 16:25</td>
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<td>Session 3</td>
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<td>14:50 - 17:00</td>
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<td>Session 2</td>
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<td><p>Assembling Pipelines and Interpreting Results</p><p>Dave Barry</p></td>
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</tr>
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</td>
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</tr>
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<td>16:25 - 16:40</td>
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<td colspan=2>Coffee Break</td>
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</tr>
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<tr>
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<td>16:40 - 18:10</td>
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<td>Session 4</td>
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<td><p>Introduction to Batch Processing</p><p>Dave Barry</p></td>
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</tr>
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<tr>
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<td></td>
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<td colspan=3>
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<ul>
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<li>Practical Application: </li>
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<ul>
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<li>Record commands to form the basis of a script</li>
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</ul>
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</ul>
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</td>
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</tr>
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<tr>
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<td>18:10 - ?</td>
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<td>Evening Social</td>
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<td>Taylor's Bar, 7 Dominick St Upper, Galway, H91 RP48</td>
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</tr>
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<tr>
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<th colspan=3>Wednesday, April 9th 2025</th>
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<th colspan=3>Friday, June 20th 2025</th>
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</tr>
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<tr>
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<td>09:30 - 10:30</td>
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<td>Session 5</td>
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<td><p>Introduction to Python and installations</p><p>Stefania Marcotti</p></td>
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<td>12:30 - 13:30</td>
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<td>Session 3</td>
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<td><p>Introduction to Python and installations</p><p>Alicja Skórkowska</p></td>
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</tr>
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<td></td>
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</td>
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<td>10:30 - 10:45</td>
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<td>13:30 - 13:50</td>
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<td colspan=2>Coffee Break</td>
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</tr>
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<td>10:45 - 12:30</td>
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<td>Session 6</td>
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<td><p>Using Jupyter Notebooks for Reproducible Analysis</p><p>Stefania Marcotti</p></td>
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<td>13:50 - 14:50</td>
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<td>Session 4</td>
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<td><p>Using Jupyter Notebooks for Reproducible Analysis - Part 1</p><p>Alicja Skórkowska</p></td>
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<td></td>
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<td colspan=3>
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<ul>
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<li>Variables and arrays</li>
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<li>Practical Application: quantify morphology of objects in a 2D image with Jupyter</li>
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</td>
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<td>12:30 - 13:30</td>
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<td colspan=2>Lunch</td>
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<td>14:50 - 15:10</td>
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<td colspan=2>Coffee Break</td>
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<td>13:30 - 15:30</td>
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<td>Session 7</td>
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<td><p>Using napari as an image analysis tool and as a viewer</p><p>Martin Jones</p></td>
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<td>15:10 - 16:10</td>
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<td>Session 4</td>
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<td><p>Using Jupyter Notebooks for Reproducible Analysis - Part 2</p><p>Alicja Skórkowska</p></td>
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<td></td>
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<td colspan=3>
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<ul>
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<li>Overview of napari GUI</li>
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<li>Practical Application: batch processing with Jupyter</li>
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<li>Practical Application: using napari as a viewer from Jupyter</li>
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<li>Practical Application: quantify morphology of objects in a 2D image with Jupyter</li>
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</ul>
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