Craig Patrick Galligan
General Electric
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Publication
Featured researches published by Craig Patrick Galligan.
SLAS TECHNOLOGY: Translating Life Sciences Innovation | 2018
Craig Patrick Galligan; Christopher Nguyen; J.K. Nelson; Patrick McCoy Spooner; Todd Miller; Brian Michael Davis; Ralf Lenigk; Christopher Michael Puleo
We present methods to fabricate high-capacity redox electrodes using thick membrane or fiber casting of conjugated polymer solutions. Unlike common solution casting or printing methods used in current organic electronics, the presented techniques enable production of PEDOT:PSS electrodes with high charge capacity and the capability to operate under applied voltages greater than 100 V without electrochemical overoxidation. The electrodes are shown integrated into several electrokinetic components commonly used in automated bioprocess or bioassay workflows, including electrophoretic DNA separation and extraction, cellular electroporation/lysis, and electroosmotic pumping. Unlike current metal electrodes used in these applications, the high-capacity polymer electrodes are shown to function without electrolysis of solvent (i.e., without production of excess H+, OH–, and H2O2 by-products). In addition, each component fabricated using the electrodes is shown to have superior capabilities compared with those fabricated with common metal electrodes. These innovations in electrokinetics include a low-voltage/high-pressure electroosmotic pump, and a “flow battery” (in which electrochemical discharge is used to generate electroosmotic flow in the absence of an applied potential). The novel electrodes (and electrokinetic demonstrations) enable new applications of organic electronics within the biology, health care, and pharmaceutical fields.
Journal of Magnetic Resonance | 2018
Guohai Chen; Berg Dodson; Francis Johnson; Ileana Hancu; Eric William Fiveland; Wanming Zhang; Craig Patrick Galligan; Christopher Michael Puleo; Robert C. Davis; Jeffrey Michael Ashe; Richard Vanfleet
Test disk electrodes were fabricated from carbon nanotubes (CNT) using the Carbon Nanotube Templated Microfabrication (CNT-M) technique. The CNT-M process uses patterned growth of carbon nanotube forests from surfaces to form complex patterns, enabling electrode sizing and shaping. The additional carbon infiltration process stabilizes these structures for further processing and handling. At a macroscopic scale, the electrochemical, electrical and magnetic properties, and magnetic resonance imaging (MRI) characteristics of the disk electrodes were investigated; their microstructure was also assessed. CNT disk electrodes showed electrical resistivity around 1 Ω·cm, charge storage capacity between 3.4 and 38.4 mC/cm2, low electrochemical impedance and magnetic susceptibility of -5.9 to -8.1 ppm, closely matched to that of tissue (∼-9 ppm). Phantom MR imaging experiments showed almost no distortion caused by these electrodes compared with Cu and Pt-Ir reference electrodes, indicating the potential for significant improvement in accurate tip visualization.
Biosensing and Nanomedicine X | 2017
Xiaoxiao Hou; Craig Patrick Galligan; Jeffrey Michael Ashe; David A. Borton; Marc Powell
As we aim to improve our understanding of the brain, it is critical that researchers have simultaneous multi-area, large-scale access to the brain. Information processing in the brain occurs through close and distant coupling of functional sub-domains, as opposed to within isolated single neurons. However, commercially available neural interfaces capable of sensing electrophysiology of single neurons, currently allow access to only a small, mm3 volume of cortical cells, are not scalable to recording from orders of magnitude more neurons, and leverage bulky, skull mounted hardware and cabling sensitive to relative movements of the skull and brain. In this work, we propose a system capable of recording from many individual distributed neural interrogator nodes, untethered from any external electronics. Using an array of epidural inductive coils to wirelessly power the implanted electronics, the system is intended to be agnostic to the surgical placement of any individual node. Here, we demonstrate the ability to transmit nearly 15mW of power with greater than 50% power transfer efficiency, benchtop testing of individual subcircuit system components showing successful digitization of neural signals, and wireless transmission currently supporting a data rate of 3.84Mbps. We leverage a software defined radio based RF receiver to demodulate the data which can be stored in memory for later retrieval. Finally, we introduce a packaging technology capable of isolating active electronics from the surrounding tissue while providing capability for electrical feed-through assemblies for external neural interfacing. We expect, based on the presented preliminary findings, that the system can be integrated into a platform technology for the study of the intricate interactions between cortical domains.
ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels | 2015
Kaustubh Ravindra Nagarkar; Craig Patrick Galligan; Michael Klitzke; James Wilson Rose; Binoy Milan Shah; Donna Marie Sherman
A novel interconnect approach was developed to enable packaging of miniature (<0.5 mm) MEMS pressure sensors for minimally invasive sensing applications. The interconnect approach is a variant of traditional flexible laminate circuits but does not require expensive patterning steps. It provides tight tolerance and assembly automation at relatively lower costs. In this paper, details of the novel interconnect and cabling approaches are disclosed. Examples of applications that benefit from this approach are also discussed. Experimental results on new ultra-miniature sensors utilizing the developed interconnect approach are presented.Copyright
Archive | 2013
Christopher Michael Puleo; Christopher Fred Keimel; Craig Patrick Galligan
Archive | 2011
Jeffrey Jon Shaw; Craig Patrick Galligan
Archive | 2011
Christopher Michael Puleo; Christopher Fred Keimel; Xiaohui Chen; Ralf Lenigk; Craig Patrick Galligan; Todd Miller
Lab on a Chip | 2015
Craig Patrick Galligan; Jason Michael Nichols; Erik Leeming Kvam; Patrick McCoy Spooner; Rachel Marie Gettings; Li Zhu; Christopher Michael Puleo
Archive | 2012
Christopher Michael Puleo; Christopher Fred Keimel; Xiaohui Chen; Ralf Lenigk; Craig Patrick Galligan; Todd Miller
ACS Biomaterials Science & Engineering | 2018
Guohai Chen; Berg Dodson; David M. Hedges; Scott C. Steffensen; John N. Harb; Chris Puleo; Craig Patrick Galligan; Jeffrey Michael Ashe; Richard Vanfleet; Robert C. Davis