meeting:fiji2010
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meeting:fiji2010 [2010/03/16 15:13] – kota | meeting:fiji2010 [2020/11/26 09:11] (current) – external edit 127.0.0.1 | ||
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====== FIJI/ImageJ Tutorials/ | ====== FIJI/ImageJ Tutorials/ | ||
Fiji/ImageJ hands-on tutorials by FIJI Hackers | Fiji/ImageJ hands-on tutorials by FIJI Hackers | ||
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===== day 1 ===== | ===== day 1 ===== | ||
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image segmentation in biological images. | image segmentation in biological images. | ||
Examples included: | Examples included: | ||
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The algorithms will be: SIOUX, Level Sets, and a trainable machine | The algorithms will be: SIOUX, Level Sets, and a trainable machine | ||
learning plugin. | learning plugin. | ||
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Arganda/ | Arganda/ | ||
+ | - SIOX: Simple Interactive Object Extraction ([[http:// | ||
+ | - Instructor: Ignacio Arganda_Carreras | ||
+ | - example used: " | ||
+ | - Level-set [[http:// | ||
+ | - Instructor: Erwin Frise | ||
+ | - example used: " | ||
+ | - NeuriteTracer [[http:// | ||
+ | - Instructor: Mark Longair | ||
+ | - example used: " | ||
===== day 2 ===== | ===== day 2 ===== | ||
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Instructors: | Instructors: | ||
Saalfeld/ | Saalfeld/ | ||
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+ | - EM image stitching using TrakEM2 | ||
+ | - Instructor: Stephane Saarfeld | ||
+ | - EM image registration in Z-axis bUnwarpJ | ||
+ | - Instructor: Ignacio | ||
===== Instructions before the tutorial ===== | ===== Instructions before the tutorial ===== | ||
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**“Exploring spatial gene expression during early development of Drosophila”** | **“Exploring spatial gene expression during early development of Drosophila”** | ||
- | <quote> | + | <blockquote> |
Exploring spatial gene expression during early development of Drosophila | Exploring spatial gene expression during early development of Drosophila | ||
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We have now extended the dataset to over 7,500 genes and completed collecting images of expression patterns for over 97% of the set of 711 sequence specific Transcription Factors (TF) identified by manual curation of genes with known or predicted DNA binding domains. The inclusion of nearly all TF expression patterns greatly enhances the use of our dataset for identifying components of regulatory networks. We will present novel interactive visualization tools and strategies to organize and refine experimentally and computationally derived datasets. | We have now extended the dataset to over 7,500 genes and completed collecting images of expression patterns for over 97% of the set of 711 sequence specific Transcription Factors (TF) identified by manual curation of genes with known or predicted DNA binding domains. The inclusion of nearly all TF expression patterns greatly enhances the use of our dataset for identifying components of regulatory networks. We will present novel interactive visualization tools and strategies to organize and refine experimentally and computationally derived datasets. | ||
- | </quote> | + | </blockquote> |
===== Pavel Tomancak 19/3 (Fri) ===== | ===== Pavel Tomancak 19/3 (Fri) ===== | ||
meeting/fiji2010.1268752420.txt.gz · Last modified: 2016/05/24 12:46 (external edit)