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    <title>Data &amp; bioimage analysis</title>
    <link>https://marionlouveaux.fr/</link>
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      <title>About Marion Louveaux</title>
      <link>https://marionlouveaux.fr/about/</link>
      <pubDate>Sat, 24 Oct 2020 00:00:00 +0000</pubDate>
      
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      <description>Data and Bioimage analysis I am bioimage analyst, data scientist and R developer. I analyse biological images taken under the microscope using various image analysis software and I process the data I extract from them using the R software, for academic or private clients. I am instructor for image and data analysis. Finally, I am involved in the open source image analysis and R communities.
I was originally trained as an engineer in agronomy.</description>
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      <title>Visualising GPX hiking data and photos with leaflet</title>
      <link>https://marionlouveaux.fr/blog/gpx-tracks-and-leaflet-interactive-map/</link>
      <pubDate>Sat, 24 Oct 2020 00:00:00 +0000</pubDate>
      
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      <description>In this article, I use a {leaflet} interactive map to display a hiking trail and position photographs of the landscape using pop-ups.
This summer, I went to Brittany, in a region called “Golfe du Morbihan”. Golfe is the French translation for gulf and Morbihan means “little sea” in briton. In the gulf, there is many islets, some inhabited, others not, all very beautiful.</description>
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      <title>Analysing Twitter data: Exploring tweets content</title>
      <link>https://marionlouveaux.fr/blog/2020-04-18_analysing-twitter-data-with-r-part3/</link>
      <pubDate>Sat, 18 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/2020-04-18_analysing-twitter-data-with-r-part3/</guid>
      <description>In this blog article, I use the {rtweet} R package to explore Twitter user profiles and relationships between users from statuses collected during a scientific conference. This is the third and last part of my series “Analysing twitter data with R”. In the first part, I showed how I collected Twitter statuses related to a scientific conference. In the second part, I explored user profiles and relationships between users.</description>
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      <title>Analysing Twitter data: Exploring user profiles and relationships</title>
      <link>https://marionlouveaux.fr/blog/twitter-analysis-part2/</link>
      <pubDate>Sun, 29 Mar 2020 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/twitter-analysis-part2/</guid>
      <description>In this blog article, I use the {rtweet} R package to explore Twitter user profiles and relationships between users from statuses collected during a scientific conference. This is the second part of my series “Analysing twitter data with R”. In the first part, I showed how I collected Twitter statuses related to a scientific conference.
Twitter is one of the few social media used in the scientific community.</description>
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    <item>
      <title>Analysing Twitter data with R</title>
      <link>https://marionlouveaux.fr/blog/twitter-analysis-part1/</link>
      <pubDate>Tue, 24 Mar 2020 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/twitter-analysis-part1/</guid>
      <description>In this blog article, I use the {rtweet} package to explore Twitter statuses collected during a scientific conference. I divided this article into three parts. This is part 1.
Twitter is one of the few social media used in the scientific community. Users having a scientific Twitter profile communicate about recent publication of research articles, the tools they use, for instance softwares or microscopes, the seminars and conferences they attend or their life as a scientist.</description>
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      <title>Analysing bibliographical references with R</title>
      <link>https://marionlouveaux.fr/blog/bibliography-analysis/</link>
      <pubDate>Fri, 21 Dec 2018 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/bibliography-analysis/</guid>
      <description>During my PhD, I worked at the intersection between biophysics and plant development. My PhD topic was focused on the study of the contribution of mechanical stress to cell division. To explore this topic, I did a lot of confocal microscopy, but also a lot of bioimage analysis and data analysis. I was curious to see how the bibliography I gathered during this period reflects my PhD topic. To analyse these data, I used the R software.</description>
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      <title>Raising public interest in the microscopic world</title>
      <link>https://marionlouveaux.fr/blog/raising-interest-in-the-microscopic-world/</link>
      <pubDate>Wed, 03 Oct 2018 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/raising-interest-in-the-microscopic-world/</guid>
      <description>I took part in the 2018 edition of the European Researcher’s Night, an outreach event happening every year all over Europe at the end of September, and funded by the Marie Curie Actions. I joined some of my colleagues from my research institute, the Centre for Organismal Studies (COS), to animate an activity around microscopy and the observation of the microscopic world, using microscopes and Foldscopes. This outreach activity was the occasion for me to share my interest in microscopy.</description>
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    <item>
      <title>Candy phenotyping</title>
      <link>https://marionlouveaux.fr/blog/candy-phenotyping/</link>
      <pubDate>Sun, 20 May 2018 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/candy-phenotyping/</guid>
      <description>Teaching image and data analysis requires to choose an example dataset. Finding a simple numerical and/or text dataset is usually not an issue: such data can be found online, in public databases, or along with the analysis software, as this is the case with the library {datasets} of the statistical software R. Some of these datasets are even already well-formatted and ready to use to teach data exploration and visualization.</description>
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      <title>Lateral root induction with Arduino</title>
      <link>https://marionlouveaux.fr/blog/lateral-root-induction-with-arduino/</link>
      <pubDate>Tue, 10 Oct 2017 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/lateral-root-induction-with-arduino/</guid>
      <description>An Arduino to induce lateral roots when you’re sleeping In my current lab, we are working on the formation of lateral roots of the model plant Arabidopsis thaliana. For some experiments, we need to observe precise events of the development in a large population of plants, or to synchronize the development of lateral roots over many plants. To do so, we can turn the plant upside down. As the apex of the root is always trying to point toward the floor, it will bend.</description>
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    <item>
      <title>Welcome</title>
      <link>https://marionlouveaux.fr/blog/welcome/</link>
      <pubDate>Mon, 25 Sep 2017 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/blog/welcome/</guid>
      <description>Welcome I am happy to start my #hugo #blogdown website with this first post!
I am a biology researcher, studying developmental processes in plants. I like fluorescence microscopy, especially when I can do live imaging in 3D. I enjoy a lot programming and making image analysis workflows. And I can’t imagine working without quantitative statistical analyses.
On this website, I would like to share my research with you, whether you are a life scientist or not.</description>
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    <item>
      <title>Publications</title>
      <link>https://marionlouveaux.fr/publications/</link>
      <pubDate>Sun, 24 Sep 2017 00:00:00 +0000</pubDate>
      
      <guid>https://marionlouveaux.fr/publications/</guid>
      <description>List of publications 2016 Louveaux M., Rochette S., Beauzamy L., Boudaoud A., and Hamant O. (2016). The impact of mechanical compression on cortical microtubules in Arabidopsis: a quantitative pipeline. The Plant Journal, 88(2), pp. 328-342. https://doi.org/10.1111/tpj.13290
Louveaux M., Julien J.-D., Mirabet V., Boudaoud A. and Hamant O. (2016). Cell division plane orientation based on tensile stress in Arabidopsis thaliana. Proceedings of the National Academy of Sciences, 113(30), pp. E4294-E4303. https://doi.</description>
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