INKJET DEPOSITION SYSTEM WITH COMPUTER VISION-BASED CALIBRATION FOR TARGETING ACCURACY

Lee Weiss, Lawrence Schultz, and Eric Miller
tech. report CMU-RI-TR-06-15, Robotics Institute, Carnegie Mellon University, March, 2006


Download
  • Adobe portable document format (pdf) (485KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
This report describes a custom inkjet system, which was developed at the Robotics Institute, for accurately depositing various material inks onto or relative to specified target locations on substrates. The system uses computer vision-based calibration to achieve targeting accuracies of 4 f? or less with drop-on-demand inkjets. This versatile system is currently used for several diverse research programs at Carnegie Mellon, ranging from gas chemical sensor manufacturing to biological patterning. For example, chemically-sensitive semi-conducting polymers are deposited onto arrays of CMOS-MEMS and FET microtransducers in order to fabricate chemical sensor microarrays. These sensors are being integrated into multi-modal systems that combine different sensing modalities with different polymers on a single chip. For another example, bioinks of growth factors are deposited onto biological substrates to form patterned arrays of these factors. To precisely quantify cell responses relative to these patterns it is important print these patterns relative to specific locations on the substrates to facilitate subsequent registration in the cell culture imaging system.

Notes
Associated Lab(s) / Group(s): Shape Deposition Lab

Text Reference
Lee Weiss, Lawrence Schultz, and Eric Miller, "INKJET DEPOSITION SYSTEM WITH COMPUTER VISION-BASED CALIBRATION FOR TARGETING ACCURACY," tech. report CMU-RI-TR-06-15, Robotics Institute, Carnegie Mellon University, March, 2006

BibTeX Reference
@techreport{Weiss_2006_5380,
   author = "Lee Weiss and Lawrence Schultz and Eric Miller",
   title = "INKJET DEPOSITION SYSTEM WITH COMPUTER VISION-BASED CALIBRATION FOR TARGETING ACCURACY",
   booktitle = "",
   institution = "Robotics Institute",
   month = "March",
   year = "2006",
   number= "CMU-RI-TR-06-15",
   address= "Pittsburgh, PA",
}