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High-precision robotic microcontact printing (R-μCP) utilizing a vision guided selectively compliant articulated robotic arm

  • Jason D. McNulty
  • , Tyler Klann
  • , Jin Sha
  • , Max Salick
  • , Gavin T. Knight
  • , Lih Sheng Turng
  • , Randolph S. Ashton*
  • *Corresponding author for this work
  • University of Wisconsin-Madison
  • East China University of Science and Technology

Research output: Contribution to journalJournal Article peer-review

18 Scopus citations

Abstract

Increased realization of the spatial heterogeneity found within in vivo tissue microenvironments has prompted the desire to engineer similar complexities into in vitro culture substrates. Microcontact printing (μCP) is a versatile technique for engineering such complexities onto cell culture substrates because it permits microscale control of the relative positioning of molecules and cells over large surface areas. However, challenges associated with precisely aligning and superimposing multiple μCP steps severely limits the extent of substrate modification that can be achieved using this method. Thus, we investigated the feasibility of using a vision guided selectively compliant articulated robotic arm (SCARA) for μCP applications. SCARAs are routinely used to perform high precision, repetitive tasks in manufacturing, and even low-end models are capable of achieving microscale precision. Here, we present customization of a SCARA to execute robotic-μCP (R-μCP) onto gold-coated microscope coverslips. The system not only possesses the ability to align multiple polydimethylsiloxane (PDMS) stamps but also has the capability to do so even after the substrates have been removed, reacted to graft polymer brushes, and replaced back into the system. Plus, non-biased computerized analysis shows that the system performs such sequential patterning with <10 μm precision and accuracy, which is equivalent to the repeatability specifications of the employed SCARA model. R-μCP should facilitate the engineering of complex in vivo-like complexities onto culture substrates and their integration with microfluidic devices.

Original languageEnglish
Pages (from-to)1923-1930
Number of pages8
JournalLab on a Chip
Volume14
Issue number11
DOIs
StatePublished - 07 06 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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