A Completely New and Fast Detector for EM
全新的快速电磁检测器
基本信息
- 批准号:8256746
- 负责人:
- 金额:$ 134.15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-05-24 至 2014-01-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAlgorithmsArchitectureAutomationBiologicalBiotechnologyChargeCommunitiesComputer softwareCoupledDataData CollectionDetectionDevelopmentDevicesDiseaseDoseElectron MicroscopyElectronsEngineeringEventFilmGleanGoalsGovernmentHardnessImageMeasuresModelingMonitorNoiseOrganellesPerformancePhasePrivate SectorRadiationReadingResearchResearch PersonnelResolutionResortSignal TransductionSoftware EngineeringSolutionsSpecimenSpeedStructureStructure-Activity RelationshipSurveysSystemTechnologyTemperatureTestingTimeTranslatingTransmission Electron MicroscopyVirusWorkbasedesigndetectordigitaldigital imagingimprovedinstrumentinterestmacromoleculeprototypepublic health relevancequantumsensorthree dimensional structuretoolvoltage
项目摘要
DESCRIPTION (provided by applicant): This project aims to further develop a breakthrough detector technology for Transmission Electron Microscopy (TEM). The detector, the Direct Detection Device (DDD) is vastly superior to Charge Coupled Device (CCD) detectors currently in use. In particular, the DDD delivers improved resolution, signal-to-noise ratio (SNR) and speed. As an enabling technology, many fields in which the TEM is a critical tool stand to benefit, but the DDD advantages will be of particular value in the field of biological cryo-EM where current detector performance severely limits the information that can be gleaned from specimens because of their extreme sensitivity to dose. Improved detector performance will translate directly to better 3-dimensional structures of macromolecules, viruses, and organelles. New problems that were previously intractable, will become solvable, and the goal of achieving near atomic resolution 3-D TEM structures will be attainable in many more cases. Ultimately, the utility of cryo-EM as a tool for elucidating structure-function relationships will take a leap forward, accelerating progress in understanding disease and designing cures. This project will advance the highly promising results from the earlier phase to ultimately deliver a commercially practical camera system that offers all of the benefits of the DDD and digital image capture plus the resolution and field of view of photographic film. The project has a sensor development component including extending lifetime to well beyond 1 year, further improving sensitivity as measured by the Detective Quantum Efficiency (DQE) figure of merit, and increasing the format (number of pixels) to equal that of photographic film. The project also has equally important system engineering and software components. Deliverables include a compact and modular design that is integrated with instruments commonly used in the field, as well as integration with the most important and widely used automation and data collection software packages.
PUBLIC HEALTH RELEVANCE: Upon successful completion, this project will deliver an enabling technology for users of transmission electron microscopy (TEM) that will provide significantly higher quality imaging of biologically significant materials. The project will provide important benefits to academic, government, institutional, and private sector biotechnology researchers as they strive to use 3-Dimensional structures of organelles, viruses and macro- molecules to elucidate structure-function relationships and mechanisms of action to understand and cure disease.
描述(由申请人提供):该项目旨在进一步开发透射电子显微镜(TEM)的突破性探测器技术。直接检测器件 (DDD) 探测器远远优于目前使用的电荷耦合器件 (CCD) 探测器。特别是,DDD 提供了改进的分辨率、信噪比 (SNR) 和速度。作为一项使能技术,以 TEM 为关键工具的许多领域都将受益,但 DDD 的优势在生物冷冻电镜领域具有特殊价值,因为当前探测器的性能严重限制了从样本中收集的信息因为它们对剂量极其敏感。改进的探测器性能将直接转化为更好的大分子、病毒和细胞器的 3 维结构。以前难以解决的新问题将变得可以解决,并且在更多情况下可以实现接近原子分辨率的 3-D TEM 结构的目标。最终,冷冻电镜作为阐明结构与功能关系的工具的实用性将实现飞跃,加速理解疾病和设计治疗方法的进展。该项目将推进早期阶段非常有希望的结果,最终提供商业实用的相机系统,该系统提供 DDD 和数字图像捕获的所有优点以及摄影胶片的分辨率和视场。该项目有一个传感器开发组件,包括将使用寿命延长至一年以上,进一步提高以侦探量子效率 (DQE) 品质因数衡量的灵敏度,以及增加格式(像素数)以与胶片相同。该项目还有同样重要的系统工程和软件组件。可交付成果包括与现场常用仪器集成的紧凑型模块化设计,以及与最重要和广泛使用的自动化和数据收集软件包的集成。
公共健康相关性:成功完成后,该项目将为透射电子显微镜 (TEM) 用户提供一项支持技术,从而为具有生物意义的材料提供更高质量的成像。该项目将为学术界、政府、机构和私营部门的生物技术研究人员提供重要的好处,因为他们努力利用细胞器、病毒和大分子的三维结构来阐明结构-功能关系和作用机制,以了解和治愈疾病。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Robert B Bilhorn其他文献
Robert B Bilhorn的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Robert B Bilhorn', 18)}}的其他基金
相似国自然基金
基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
- 批准号:82304250
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
多模态高层语义驱动的深度伪造检测算法研究
- 批准号:62306090
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
高精度海表反照率遥感算法研究
- 批准号:42376173
- 批准年份:2023
- 资助金额:51 万元
- 项目类别:面上项目
基于新型深度学习算法和多组学研究策略鉴定非编码区剪接突变在肌萎缩侧索硬化症中的分子机制
- 批准号:82371878
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
基于深度学习与水平集方法的心脏MR图像精准分割算法研究
- 批准号:62371156
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
A computational model for prediction of morphology, patterning, and strength in bone regeneration
用于预测骨再生形态、图案和强度的计算模型
- 批准号:
10727940 - 财政年份:2023
- 资助金额:
$ 134.15万 - 项目类别:
Vessel Identification and Tracing in DSA Image Series for Cerebrovascular Surgical Planning
用于脑血管手术计划的 DSA 图像系列中的血管识别和追踪
- 批准号:
10726103 - 财政年份:2023
- 资助金额:
$ 134.15万 - 项目类别:
Deep-Learning-Augmented Quantitative Gradient Recalled Echo (DLA-qGRE) MRI for in vivo Clinical Evaluation of Brain Microstructural Neurodegeneration in Alzheimer Disease
深度学习增强定量梯度回忆回波 (DLA-qGRE) MRI 用于阿尔茨海默病脑微结构神经变性的体内临床评估
- 批准号:
10659833 - 财政年份:2023
- 资助金额:
$ 134.15万 - 项目类别:
Deciphering the Glycan Code in Human Alzheimer's Disease Brain
破译人类阿尔茨海默病大脑中的聚糖代码
- 批准号:
10704673 - 财政年份:2023
- 资助金额:
$ 134.15万 - 项目类别:
An Autonomous Rapidly Adaptive Multiphoton Microscope for Neural Recording and Stimulation
用于神经记录和刺激的自主快速自适应多光子显微镜
- 批准号:
10739050 - 财政年份:2023
- 资助金额:
$ 134.15万 - 项目类别: