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Shared Instrumentation Grant for Purchase of a Nikon N-SIM/N-STORM Super-Resoluti

Shared Instrumentation Grant for Purchase of a Nikon N-SIM/N-STORM Super-Resoluti
用于购买 Nikon N-SIM/N-STORM Super-Resoluti 的共享仪器补助金
批准号:
8447655
负责人:
KEN-ICHI TAKEMARU
金额:
$60.0万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-20 至 2014-06-19

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中文摘要
翻译
描述(由申请人提供):本提案要求为购买尼康N-SIM/N-STORM超分辨率显微镜系统提供资金。该仪器将SIM和STORM系统集成到一个平台中。N-SIM(结构照明显微镜)在每个维度上的分辨率都比传统的共焦显微镜高出两倍。它配备了5条激光线(458/488/515/532/561 nm),能够对厚度达20 μ m的物体进行3D成像。N-STORM(随机光学重建显微镜)是一种基于单分子定位的显微镜,其分辨率显著提高,是传统显微镜的10倍(约10倍)。20 nm横向)高于共聚焦显微镜在所有三个 轴。N-STORM配备了4激光照明单元(405/488/561/647 nm)和3D STORM功能。目前,斯托尼布鲁克大学还没有超分辨率显微镜。该系统将有助于蛋白质定位和细胞结构的空间分辨率超过~ 200 nm的衍射极限,使研究人员能够以高精度探索与人类疾病相关的基本生物学问题。该系统的管理和操作将由一名技术专家提供,他还将协助用户为特别项目制定染色和成像协议,并帮助调查人员分析超分辨率数据。)
英文摘要
DESCRIPTION (provided by applicant): This proposal requests funds for the purchase of a Nikon N-SIM/N-STORM Super-Resolution Microscope System. The instrument combines both SIM and STORM systems into one platform. The N-SIM (Structured Illumination Microscopy) achieves a resolution two times higher than that of conventional confocal microscopes in each dimension. It is equipped with 5 laser lines (458/488/515/532/561 nm) and capable of 3D imaging up to 20 ¿m thickness. The N-STORM (Stochastic Optical Reconstruction Microscopy) is a single-molecule localization-based microscope that generates a dramatically enhanced resolution that is ten times (approx. 20 nm laterally) higher than confocal microscopy in all three axes. The N-STORM comes equipped with a 4-laser illumination unit (405/488/561/647 nm) and 3D STORM capability. Currently, there is no super-resolution microscope available at Stony Brook University. The system will facilitate the spatial resolution of protein localization and cellular structures beyond the diffraction limit of ~200nm, enabling investigators to explore fundamental biological problems related to human disease at high precision. Management and operation of the system will be provided by a technical specialist, who will also assists users in developing staining and imaging protocols for special projects, as well as helping investigators in the analysis of super-resolution data. )
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