Detailed instructions for building a micro contact printing (μCP) machine and for using it to spatially structure neuronal cultures. Its purpose is to allow any lab without access to a lithography facility to structure cultures of neurons with the method developed in our group. It accompanies the paper R. Samhaber et al. 2016.

You can find a detailed description as to the preparation of neuronal cultures, the protocols used, and the construction of the μCP machine including all CAD files.

Manuel Schottdorf af724a49d0 Small test update 5 months ago
optics b956fecda8 Update 'optics/README.md' 2 years ago
3d-rendering.jpg 3d9472cc7b new 3d rendering 2 years ago
LICENSE 1eb9e07316 Initial commit 2 years ago
README.md af724a49d0 Small test update 5 months ago
all_instructions.pdf 67fc81562b Uploaded pdf file 2 years ago
archive_website.tar.gz 452d23e66c Upload files to '' 2 years ago
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machine.zip 452d23e66c Upload files to '' 2 years ago

README.md

Samhaber_Schottdorf_et_al_2016

This repository accompanies the manuscript Samhaber et al. J Neurosc Methods 2016.

It contains detailed instructions for building a micro contact printing (μCP) machine and for using it to spatially structure neuronal cultures. Its purpose is to allow any lab without access to a lithography facility to structure cultures of neurons with the method developed in our group. It contains details of the preparation of neuronal cultures, all protocols used, and the construction of the μCP machine including all CAD files.

The repository contains several files and additional information.

Please direct technical inquiries to Manuel Schottdorf. Shared corresponding authors are Fred Wolf and Manuel Schottdorf.

machine.zip

This archive contains the CAD drawings of the stamping mechanism described in the paper. It also contains a detailed parts list as Excel file.

archive_website.tar.gz

This archive contains a local copy of the supplemental online material; currently hosted by the Max Planck Institute for Dynamics and Self-Organization.

Additional information

In addition to the two archives, this repository contains:

  • A pdf file with a detailed protocol of the stamping procedure with pictures in all_instructions.pdf.
  • Details of the optical path, and a Zemax simulation, in the folder /optics/.
  • A readme and license file.
  • A 3D rendering of the CAD files:

datacite.yml
Title Construction and use of an accurate positioning-µCP device
Authors Samhaber,Robert;Max-Planck-Institute for Experimental Medicine, Dept. Molecular Biology of Neuronal Signals, Hermann-Rein-Str. 3, 37075 Göttingen, Germany; Max Planck Institute for Dynamics and Self-Organization, Dept. Nonlinear Dynamics, Am Faßberg 17, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany; SFB-889 Cellular Mechanisms of Sensory Processing, Göttingen, Germany
Schottdorf,Manuel;Max-Planck-Institute for Experimental Medicine, Dept. Molecular Biology of Neuronal Signals, Hermann-Rein-Str. 3, 37075 Göttingen, Germany; Max Planck Institute for Dynamics and Self-Organization, Dept. Nonlinear Dynamics, Am Faßberg 17, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany;ORCID:0000-0002-5468-4255
El Hady,Ahmed;Max-Planck-Institute for Experimental Medicine, Dept. Molecular Biology of Neuronal Signals, Hermann-Rein-Str. 3, 37075 Göttingen, Germany; Max Planck Institute for Dynamics and Self-Organization, Dept. Nonlinear Dynamics, Am Faßberg 17, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany; SFB-889 Cellular Mechanisms of Sensory Processing, Göttingen, Germany;ORCID:0000-0002-0045-8017
Bröking,Kai;Max-Planck-Institute for Experimental Medicine, Dept. Molecular Biology of Neuronal Signals, Hermann-Rein-Str. 3, 37075 Göttingen, Germany; Max Planck Institute for Dynamics and Self-Organization, Dept. Nonlinear Dynamics, Am Faßberg 17, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany
Daus,Andreas;Faculty of Engineering, University of Applied Science, Würzburger Straße 45, 63743 Aschaffenburg, Germany
Thielemann,Christiane;Faculty of Engineering, University of Applied Science, Würzburger Straße 45, 63743 Aschaffenburg, Germany
Stühmer,Walter;Max-Planck-Institute for Experimental Medicine, Dept. Molecular Biology of Neuronal Signals, Hermann-Rein-Str. 3, 37075 Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany
Wolf,Fred;Max Planck Institute for Dynamics and Self-Organization, Dept. Nonlinear Dynamics, Am Faßberg 17, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Bernstein Focus Neurotechnology, Göttingen, Germany; SFB-889 Cellular Mechanisms of Sensory Processing, Göttingen, Germany; Faculty of Physics, Georg-August-Universität Göttingen, Göttingen, Germany
Description This repository accompanies the manuscript Samhaber et al. J Neurosc Methods 2016. It contains detailed instructions for building a micro contact printing (μCP) machine and for using it to spatially structure neuronal cultures. Its purpose is to allow any lab without access to a lithography facility to structure cultures of neurons with the method developed in our group. It contains details of the preparation of neuronal cultures, all protocols used, and the construction of the μCP machine including all CAD files.
License Creative Commons Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/)
References Samhaber et al. Growing neuronal islands on multi-electrode arrays using an accurate positioning-μCP device [doi:10.1016/j.jneumeth.2015.09.022] (IsSupplementTo)
Funding BMBF, 01GQ0811
BMBF, 01GQ01005B
BMBF, 01GQ0922
ZIM, KF2710201 DF0
DFG, SFB889
DFG, Cluster of Excellence: Nanoscale Microscopy and Molecular Physiology of the Brain.
VolkswagenStiftung, ZN2632
Boehringer Ingelheim Fonds
Keywords Neuroscience
Electrophysiology
µCP
MEA
Patterning
Resource Type Dataset