Fabrication of Micro-Patterned Chip with Controlled Thickness for High-Throughput Cryogenic Electron Microscopy
DC Field | Value | Language |
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dc.contributor.author | Kang, Min-Ho | - |
dc.contributor.author | Minyoung Lee | - |
dc.contributor.author | Sungsu Kang | - |
dc.contributor.author | Jungwon Park | - |
dc.date.accessioned | 2023-01-27T02:54:27Z | - |
dc.date.available | 2023-01-27T02:54:27Z | - |
dc.date.created | 2022-06-02 | - |
dc.date.issued | 2022-04 | - |
dc.identifier.issn | 1940-087X | - |
dc.identifier.uri | https://pr.ibs.re.kr/handle/8788114/12942 | - |
dc.description.abstract | © 2022 JoVE Journal of Visualized Experiments.A major limitation for the efficient and high-throughput structure analysis of biomolecules using cryogenic electron microscopy (cryo-EM) is the difficulty of preparing cryo-EM samples with controlled ice thickness at the nanoscale. The silicon (Si)-based chip, which has a regular array of micro-holes with graphene oxide (GO) window patterned on a thickness-controlled silicon nitride (SixNy) film, has been developed by applying microelectromechanical system (MEMS) techniques. UV photolithography, chemical vapor deposition, wet and dry etching of the thin film, and drop-casting of 2D nanosheet materials were used for mass-production of the micro-patterned chips with GO windows. The depth of the micro-holes is regulated to control the ice thickness on-demand, depending on the size of the specimen for cryo-EM analysis. The favorable affinity of GO toward biomolecules concentrates the biomolecules of interest within the micro-hole during cryo-EM sample preparation. The micro-patterned chip with GO windows enables high-throughput cryo-EM imaging of various biological molecules, as well as inorganic nanomaterials. | - |
dc.language | 영어 | - |
dc.publisher | Journal of Visualized Experiments | - |
dc.title | Fabrication of Micro-Patterned Chip with Controlled Thickness for High-Throughput Cryogenic Electron Microscopy | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.wosid | 000810726600025 | - |
dc.identifier.scopusid | 2-s2.0-85129522367 | - |
dc.identifier.rimsid | 78235 | - |
dc.contributor.affiliatedAuthor | Minyoung Lee | - |
dc.contributor.affiliatedAuthor | Sungsu Kang | - |
dc.contributor.affiliatedAuthor | Jungwon Park | - |
dc.identifier.doi | 10.3791/63739 | - |
dc.identifier.bibliographicCitation | Journal of Visualized Experiments, v.2022, no.182 | - |
dc.relation.isPartOf | Journal of Visualized Experiments | - |
dc.citation.title | Journal of Visualized Experiments | - |
dc.citation.volume | 2022 | - |
dc.citation.number | 182 | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | SILICON-NITRIDE | - |
dc.subject.keywordPlus | CRYO-EM | - |
dc.subject.keywordPlus | LPCVD | - |