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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*
  • *此作品的通信作者
  • University of Wisconsin-Madison
  • East China University of Science and Technology

研究成果: 期刊稿件 › 文章 › 同行評審

19 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)1923-1930
頁數8
期刊Lab on a Chip
卷14
發行號11
DOIs
出版狀態已出版 - 07 06 2014
對外發佈是

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG9 工業、創新基礎建設
    SDG9 工業、創新基礎建設

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