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	<title>neuroscience &#8211; Bordeaux Neurocampus</title>
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	<description>Département de neurosciences de l’université de Bordeaux.</description>
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	<title>neuroscience &#8211; Bordeaux Neurocampus</title>
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		<title>Event-Related Electrodermal Response to Stress: Results From a Realistic Driving Simulator Scenario</title>
		<link>https://www.bordeaux-neurocampus.fr/article/event-related-electrodermal-response-to-stress-results-from-a-realistic-driving-simulator-scenario/</link>
		
		<dc:creator><![CDATA[Pierre Philip]]></dc:creator>
		<pubDate>Wed, 08 May 2019 12:17:37 +0000</pubDate>
				<category><![CDATA[neuroscience]]></category>
		<guid isPermaLink="false">https://www.bordeaux-neurocampus.fr/?post_type=article&#038;p=107230</guid>

					<description><![CDATA[1. Hum Factors. 2019 May 3:18720819842779. doi: 10.1177/0018720819842779. [Epub ahead of print] Event-Related Electrodermal Response to Stress: Results From a Realistic Driving Simulator Scenario. Daviaux Y, Bonhomme E(1), Ivers H(2), de Sevin É, Micoulaud-Franchi JA, Bioulac S(1), Morin CM(2), Philip P, Altena E(1). Author information: (1)Université de Bordeaux, France. (2)Université Laval, Québec City, Canada. OBJECTIVE: The study goal was to test whether induced stress during driving could be measured at the event level through electrodermal activity responses. BACKGROUND: Stress measured in simulation scenarios could thus far show an overall change in the stress state, but not be well attributed to&#8230;]]></description>
		
		
		
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		<title>DTx Science : Les thérapies numériques en santé</title>
		<link>https://www.bordeaux-neurocampus.fr/dtx-science-les-therapies-numeriques-en-sante/</link>
		
		<dc:creator><![CDATA[Arnaud Rodriguez]]></dc:creator>
		<pubDate>Tue, 28 May 2019 16:17:25 +0000</pubDate>
				<category><![CDATA[Quoi de neuf ?]]></category>
		<category><![CDATA[neuroscience]]></category>
		<guid isPermaLink="false">https://www.bordeaux-neurocampus.fr/?p=107902</guid>

					<description><![CDATA[Deux journées et un concours. ]]></description>
		
		
		
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		<title>Quantitative imaging of the cell</title>
		<link>https://www.bordeaux-neurocampus.fr/team/quantitative-imaging-of-the-cell/</link>
		
		<dc:creator><![CDATA[florianLVT]]></dc:creator>
		<pubDate>Thu, 07 Jun 2018 16:10:50 +0000</pubDate>
				<category><![CDATA[3D cellular models]]></category>
		<category><![CDATA[Analyses des données]]></category>
		<category><![CDATA[Bioimage Analysis]]></category>
		<category><![CDATA[Geometry Processing ; Deep Learning]]></category>
		<category><![CDATA[High Content Screening]]></category>
		<category><![CDATA[Imagerie cellulaire in vitro ou in vivo]]></category>
		<category><![CDATA[Intelligence artificielle et réalité virtuelle]]></category>
		<category><![CDATA[Microscopie super-résolutive]]></category>
		<category><![CDATA[neuroscience]]></category>
		<category><![CDATA[Protein Labelling]]></category>
		<category><![CDATA[Single Molecule Localization Microscopy]]></category>
		<category><![CDATA[Single objective Light-Sheet Fluorescence Microscopy]]></category>
		<category><![CDATA[Single Particle Tracking]]></category>
		<category><![CDATA[synapse]]></category>
		<guid isPermaLink="false">https://neurodev-ng.u-bordeaux.fr/team/quantitative-imaging-of-the-cell/</guid>

					<description><![CDATA[Our team aims at developing novel imaging techniques to decipher protein organization and dynamics at high spatial and temporal resolutions. More precisely, four main research areas are dedicating to develop: 1) Novel instruments for super-resolution microscopy of living samples, 2) Analytical tools for object segmentation, tracking and visualization, 3) High Content Screening Microscopy to quantify the dynamics of active proteins within the living cells, using super-resolution microscopy and 4) Bioengineering for micropatterning and microfluidics to control cell geometry and their local chemical environment. Innovative techniques &#124; Tools for single molecule localization, tracking and quantification, 3D imaging of thick biological specimens,&#8230;]]></description>
		
		
		
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