DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Nam, Yoonkey | - |
dc.contributor.advisor | 남윤기 | - |
dc.contributor.author | Joo, Sunghoon | - |
dc.date.accessioned | 2019-08-22T02:41:53Z | - |
dc.date.available | 2019-08-22T02:41:53Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=866911&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/264682 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[xv, 203 p. :] | - |
dc.description.abstract | Cultured neurons, like the neurons that constitute the in vivo brain, are capable of expressing ion channels capable of generating action potentials, observing the growth of axons and dendrites, and forming neurons and synapses. A neural network consisting of cultured neural networks is used as a bottom-up approach to study the brain. The cultured neural network is reduced as compared to the neural network of the in vivo brain, and it is easy to use as a model because it has the basic electrophysiological characteristics of the brain neural network. Since it is easy to regulate the growth of cultured neurons externally, studies are underway to control the topology of the networks formed from cultured neurons. Surface patterning techniques can be used to control the neural adhesion and neurite outgrowth of in vitro culture substrates at cellular scale. This approach basically defines cell adhesive region and cell repellent region on the culture substrate by using surface patterning and realizes cell adhesion and neurite outgrowth only in relatively cell adhesive region to make neural network of desired design. This dissertation deals with the Soft-lithography based surface micro-patterning approaches for controlling the topology of in vitro neural networks. One of the soft lithography technologies, microcontact printing technology, was used to pattern the biomolecule with a microscale, and micromolding was used to pattern the cell repellent materials agarose hydrogel and alginate hydrogel to design the neural network. The physiological characteristics of the neural network formed by the micropatterning technique were examined by using immunohistochemistry, and the electrical signals were measured from the designed neural network using the microelectrode chip system, and the electrophysiological characteristics and connectivity were analyzed. This dissertation is expected to contribute to in vitro neuroscience by suggesting designing principal of neural network as a reduced model of the brain. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Neuron▼aastrocyte▼amicroelectrode array▼ain vitro▼asurface patterning▼asoft lithography▼amicrocontact printing▼acell patterning▼aelectrophysiology | - |
dc.subject | 신경세포▼a교세포▼a신경줄기세포▼a패터닝▼a소프트리소그래피▼a미세접촉프린팅▼a체외배양▼a미세전극칩▼a전기생리학 | - |
dc.title | Soft-lithography based surface micro-patterning approaches for controlling the topology of in vitro neural networks | - |
dc.title.alternative | 소프트 리소그래피 기반의 표면 미세 패터닝 기술을 이용한 체외 배양된 신경 네트워크의 구조 제어 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.contributor.alternativeauthor | 주성훈 | - |
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