<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>1536</id>
    <completedYear>2016</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>194</pageFirst>
    <pageLast>203</pageLast>
    <pageNumber/>
    <edition/>
    <issue>257</issue>
    <volume>2016</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2016-01-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Growing neuronal islands on multi-electrode arrays using an accurate positioning-μCP device</title>
    <abstract language="eng">Background: Multi-electrode arrays (MEAs) allow non-invasive multi-unit recording in-vitro from cultured neuronal networks. For sufficient neuronal growth and adhesion on such MEAs, substrate preparation is required. Plating of dissociated neurons on a uniformly prepared MEA's surface results in the formation of spatially extended random networks with substantial inter-sample variability. Such cultures are not optimally suited to study the relationship between defined structure and dynamics in neuronal networks. To overcome these shortcomings, neurons can be cultured with pre-defined topology by spatially structured surface modification. Spatially structuring a MEA surface accurately and reproducibly with the equipment of a typical cell-culture laboratory is challenging. New method: In this paper, we present a novel approach utilizing micro-contact printing (μCP) combined with a custom-made device to accurately position patterns on MEAs with high precision. We call this technique AP-μCP (accurate positioning micro-contact printing). Comparison with existing methods: Other approaches presented in the literature using μCP for patterning either relied on facilities or techniques not readily available in a standard cell culture laboratory, or they did not specify means of precise pattern positioning. Conclusion: Here we present a relatively simple device for reproducible and precise patterning in a standard cell-culture laboratory setting. The patterned neuronal islands on MEAs provide a basis for high throughput electrophysiology to study the dynamics of single neurons and neuronal networks.</abstract>
    <parentTitle language="eng">Journal of Neuroscience Methods</parentTitle>
    <identifier type="doi">10.1016/j.jneumeth.2015.09.022</identifier>
    <enrichment key="copyright">0</enrichment>
    <licence>Keine Lizenz - es gilt das deutsche Urheberrecht</licence>
    <author>Robert Samhaber</author>
    <author>Manuel Schottdorf</author>
    <author>Ahmed El Hady</author>
    <author>Kai Bröking</author>
    <author>Andreas Daus</author>
    <author>Christiane Thielemann</author>
    <author>Walter Stühmer</author>
    <author>Fred Wolf</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MEA</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Patterning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>μCP</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Mehrfachelektrode</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Neuronales Netz</value>
    </subject>
    <collection role="forschungsschwerpunkte" number="">Artifical Intelligence and Data Science</collection>
    <collection role="forschungsschwerpunkte" number="">Clean Tech</collection>
    <collection role="forschungsschwerpunkte" number="">Intelligent Sensors and Signals</collection>
    <collection role="forschungsschwerpunkte" number="">Material Testing &amp; Sensor Technology</collection>
  </doc>
</export-example>
