The availability of low cost, high quality 3D printers has led to the rapid adoption of 3D printing by practitioners in numerous fields, including the life sciences. Printing technologies and materials have expanded beyond those involving polymers and metals to include paper, cells and other biological materials, enabling many new and unexpected applications.
In this course we will cover the process of creating 3D-printed objects, with an emphasis on applications in the life sciences. We will survey the state-of-the-art of 3D printing and then discuss the practical considerations of creating your own objects, from initial conception to physical reality. We'll demonstrate several techniques for generating 3D models, discuss how to optimize models for printing, and compare printing techniques and material options. Attendees will have the option to generate 3D models using publicly available software on their personal computer. Live demonstrations using a 3D printer during the course will provide hands-on interaction by all attendees.
Scientists and technologists...
Those interested in the following tracks:
Matthew Fronheiser received a Ph.D. from Duke University for his research utilizing real-time 3D ultrasound to guide interventional devices. Upon graduation, Matthew performed research in photoacoustics, a hybrid imaging modality that can be used to generate oxygenation maps in tissue. He has held positions in the pharmaceutical industry that involved development of novel biomedical engineering solutions for discovery research and medical image analysis for pre-clinical and clinical studies.
Mark Russo received a Ph.D. in Biochemical Engineering in 1989. He has held positions in the Biotechnology and Pharmaceutical industries in the fields of scientific computing, laboratory automation, data system design and development and software architecture. Mark has served the SLAS for many years, including as a short course instructor, session and track chair, and the Executive Editor of the Journal of Laboratory Automation (JALA). Mark has published extensively on topics related to scientific computing and laboratory automation, including scientific articles and book chapters. Currently, Mark works in the pharmaceutical industry in translational bioinformatics. Mark also teaches computer science at The College of New Jersey, Ewing, NJ.