Investigation of micro-devices for neurobiological applications

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dc.check.embargoformatNot applicableen
dc.check.infoNo embargo requireden
dc.check.opt-outNot applicableen
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dc.contributor.advisorGalvin, Paulen
dc.contributor.advisorMcDermott, Kieranen
dc.contributor.advisorHerzog, Grégoireen
dc.contributor.advisorArrigan, Damienen
dc.contributor.authorGrygoryev, Konstantin
dc.contributor.funderNational Biophotonics and Imaging Platform Irelanden
dc.contributor.funderHigher Education Authorityen
dc.date.accessioned2013-10-10T15:58:17Z
dc.date.available2013-10-10T15:58:17Z
dc.date.issued2013
dc.date.submitted2013
dc.description.abstractThe aim of this project is to integrate neuronal cell culture with commercial or in-house built micro-electrode arrays and MEMS devices. The resulting device is intended to support neuronal cell culture on its surface, expose specific portions of a neuronal population to different environments using microfluidic gradients and stimulate/record neuronal electrical activity using micro-electrode arrays. Additionally, through integration of chemical surface patterning, such device can be used to build neuronal cell networks of specific size, conformation and composition. The design of this device takes inspiration from the nervous system because its development and regeneration are heavily influenced by surface chemistry and fluidic gradients. Hence, this device is intended to be a step forward in neuroscience research because it utilizes similar concepts to those found in nature. The large part of this research revolved around solving technical issues associated with integration of biology, surface chemistry, electrophysiology and microfluidics. Commercially available microelectrode arrays (MEAs) are mechanically and chemically brittle making them unsuitable for certain surface modification and micro-fluidic integration techniques described in the literature. In order to successfully integrate all the aspects into one device, some techniques were heavily modified to ensure that their effects on MEA were minimal. In terms of experimental work, this thesis consists of 3 parts. The first part dealt with characterization and optimization of surface patterning and micro-fluidic perfusion. Through extensive image analysis, the optimal conditions required for micro-contact printing and micro-fluidic perfusion were determined. The second part used a number of optimized techniques and successfully applied these to culturing patterned neural cells on a range of substrates including: Pyrex, cyclo-olefin and SiN coated Pyrex. The second part also described culturing neurons on MEAs and recording electrophysiological activity. The third part of the thesis described integration of MEAs with patterned neuronal culture and microfluidic devices. Although integration of all methodologies proved difficult, a large amount of data relating to biocompatibility, neuronal patterning, electrophysiology and integration was collected. Original solutions were successfully applied to solve a number of issues relating to consistency of micro printing and microfluidic integration leading to successful integration of techniques and device components.en
dc.description.sponsorshipHigher Education Authority (PRTLI 4)en
dc.description.statusNot peer revieweden
dc.description.versionAccepted Version
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGrygoryev, K. 2013. Investigation of micro-devices for neurobiological applications. PhD Thesis, University College Cork.en
dc.identifier.endpage192
dc.identifier.urihttps://hdl.handle.net/10468/1249
dc.language.isoenen
dc.publisherUniversity College Corken
dc.rights© 2013, Konstantin Grygoryeven
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectReversible integrationen
dc.subjectMicrofluidicsen
dc.subjectMicro-electrode arraysen
dc.subjectNeuronal patterningen
dc.subjectMEMSen
dc.subject.lcshMicroelectromechanical systemsen
dc.subject.lcshMolecular neurobiologyen
dc.subject.lcshElectrophysiologyen
dc.thesis.opt-outfalse
dc.titleInvestigation of micro-devices for neurobiological applicationsen
dc.typeDoctoral thesisen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD (Science)en
ucc.workflow.supervisorpaul.galvin@tyndall.ie
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