<?xml version="1.0" encoding="utf-8"?>







    <rss version="2.0"
         xmlns:content="http://purl.org/rss/1.0/modules/content/"
         xmlns:atom="http://www.w3.org/2005/Atom"
         xmlns:media="http://search.yahoo.com/mrss/">
        <channel>
            
                
                    <ttl>60</ttl>
                    <title>University of Bremen - Projects Group Lüssem</title>
                    <link>https://www.uni-bremen.de/en/imsas/research/projects-group-luessem</link>
                    <description>Projects Group Lüssem</description>
                    <language>en</language>
                    <copyright>University of Bremen</copyright>
                    <pubDate>Fri, 16 Oct 2026 16:42:48 +0200</pubDate>
                    <lastBuildDate>Fri, 16 Oct 2026 16:42:48 +0200</lastBuildDate>
                    <atom:link href="https://www.uni-bremen.de/en/imsas/research/projects-group-luessem/rss.xml" rel="self" type="application/rss+xml"/>
                    <generator>University of Bremen</generator>
                
                
                    
                        <item>
                            <guid isPermaLink="false">content-689720</guid>
                            <pubDate>Fri, 06 Mar 2026 01:07:00 +0100</pubDate>
                            <title>Neural probes with integrated vertical organic electrochemical transistors (vOECTs)</title>
                            <link>https://www.uni-bremen.de/en/imsas/research/projects-group-luessem#c689720</link>
                            
                            <description>&amp;lt;p&amp;gt;Understanding the working mechanisms in the human brain is a key factor for development of medical implants for treating various diseases. For monitoring brain activity, neural probes are used to record signals from single to multiple neurons. The challenge here is to record these very small signals in the µV range with a high signal-to-noise ratio over a long period, in particular for chronically implanted microelectrodes.&amp;lt;/p&amp;gt;</description>
                            
                            <category>Content</category>
                            
                            
                        </item>
                    
                
            
        </channel>
    </rss>

