AccScience Publishing / IJB / Volume 3 / Issue 2 / DOI: 10.18063/IJB.2017.02.006
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PERSPECTIVE ARTICLE

Directed self-assembly software for single cell deposition

Samuel C. Sklare1* Winona L. Richey2 Benjamin T. Vinson3 Douglas B. Chrisey1,2*
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1 Department of Physics and Engineering Physics, Tulane University, New Orleans, LA, 70118, United States of America
2 Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, United States of America
3 Bioinnovation Program, Tulane University, New Orleans, LA, 70118, United States of America
IJB 2017, 3(2), 100–108; https://doi.org/10.18063/IJB.2017.02.006
© Invalid date by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Laser direct-write (LDW) bioprinting methods offer a diverse set of tools to design experiments, fabricate tissue constructs and to cellular microenvironments all in a CAD/CAM manner. To date, we have just scratched the surface of the system’s potential and for LDW to be utilized to its fullest, there are many distinct hardware and software components that must be integrated and communicate seamlessly. In this perspective article, we detail the development of novel graphical user interface (GUI) software to improve LDW capability and functionality. The main modules in the control software correspond to cell transfer, microbead fabrication, and micromachining. The modules make the control of each of these features, and the management of printing programs that utilize one or more features, to be facile. The software also addresses problems related to construct scale-up, print speed, experimental conditions, and management of sensor data. The control software and possibilities for integrated sensor data are presented.

Keywords
CAD/CAM bioprinting
laser direct-write
single-cell printing
GUI software
machine learning
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International Journal of Bioprinting, Electronic ISSN: 2424-8002 Print ISSN: 2424-7723, Published by AccScience Publishing