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| + | =Device and Software= |
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| + | The soft- and hardware aspects of our project are described in the ''Error Log'', because we all learn from errors we made. |
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- | <h1>
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- | The software Measurarty
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- | The third part of our project is our software Measurarty. The software will allow us to analyze the fluorescence emitted by our sensor cells in a more advanced and better way than just using a simple Treshold. We will utilize a modern segmentation algorithm in combination with further, detailed image processing algorithms.
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- | More information will be available soon!
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| + | =The Software: Measurarty= |
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| + | The third part of our project is our software `Measurarty`. The software will allow us to analyze the fluorescence emitted by our sensor cells in a more advanced and better way than just using a simple tresholding technique. We will utilize a modern segmentation algorithm in combination with further, detailed image processing algorithms. |
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- | <!--====================================================================--> | + | At the core of our segmentation algorithm is a Statistical Region Merging<html><sup><a href="#fn1" id="ref1">1</a></sup></html> implementation written for Qt enabled ''C++''. |
- | <!--====================================================================--> | + | Statistical Region Merging (SRM) is a straight-forward technique for creating regions in an image. Such regions then can be used for region-based image segmentation, the core of most image analysis softwares. Additionally, segmenting regions, instead of single pixels, brings an enormous performance improvement. |
- | <!--==================== 2ND BLOCK STARTS ==============================--> | + | To the knowledge of this team, most SRM implementations only use region-size and color gradients for region creation. |
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| + | We are going to change that. |
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| + | Over the next few months the computational devision of our team will develop an easy-to-use, easy-to-run software for image analysis of color-based image analytics. |
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- | $$MathJax 2+2 \frac{1}{2}$$ works. <br>
| + | For this purpose we would like to present our novel approach in this wiki, and formulas will help you to understand our algorithm. Until the <i>math-tag</i> in MediaWiki is working again, MathJax will provide us with a $\LaTeX$ environment! |
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- | but the math-tag </html><math>2 \cdot \frac{1}{2}</math><html> ?
| + | <html><sup id="fn1">1. [Nock, R.; Nielsen, F., "Statistical region merging," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.26, no.11, pp.1452,1458, Nov. 2004]<a href="#ref1" title="Jump back to footnote 1 in the text.">↩</a></sup></html> |
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| + | =The Device: Cellock Holmes= |
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| + | You may wonder: again Cellock Holmes?! YES! |
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| + | In lack of a better name, our name for the device is Cellock Holmes, again. |
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| + | =The Other projects: Arbitrary Stuff= |
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| + | We're doing some collaborations and side projects for iGEM as well. We'll inform you about that here :) |
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