Super-Resolution Imaging with Difference Deconvolution Microscopy
使用差分反卷积显微镜进行超分辨率成像
基本信息
- 批准号:7514417
- 负责人:
- 金额:$ 29.22万
- 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:2008-08-01 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:CellsConfocal MicroscopyDevelopmentFluorescence MicroscopyGoalsImageImaging TechniquesLaser Scanning Confocal MicroscopyLasersLengthLifeMammalian CellMethodsMicroscopeMicroscopyResolutionSamplingScanningStandards of Weights and MeasuresTechniquesTimecellular imaginginterestmillisecondnanometernovelsensor
项目摘要
DESCRIPTION (provided by applicant): Fluorescence microscopy has poor spatial resolution (~200nm for the best confocal microscope) owing to the diffraction limit, but provides exquisite dynamical information on live cells. With the development of novel fluorescent sensors and molecules in the past decade, the usage of fluorescence microscopy (especially confocal microscopy) for live-cell studies has greatly increased. The goal of our project is to increase the resolution of confocal imaging techniques to a few tens of nanometers in spatial resolution, using a new microscopy technique that we termed "Difference Deconvolution Microscopy (DDM)" Furthermore, we plan to increase the temporal resolution of DDM beyond that of traditional scanning confocal microscopy, so we can access even faster dynamical information than currently possible using a standard scanning confocal microscope. We believe DDM, when successfully developed, will increase dramatically the resolution and capability of fluorescence microscopy, particularly for applications in live- cell imaging where laser power needs to be sufficiently low to avoid cellular damage and the time resolution must be sufficiently fast to resolve the dynamics of interest. The goal of this project is to increase the resolution of confocal imaging techniques to the tens of nanometers in length scale and with sub-millisecond time resolution for live-cell imaging, using a new microscopy method that we termed "Difference Deconvolution Microscopy (DDM)". DDM uses comparable experimental parameters (e.g. similar laser powers) as confocal microscopy, and thus is inherently suited to use with fragile samples, such as live mammalian cells.
描述(由申请人提供):由于衍射极限,荧光显微镜的空间分辨率很差(对于最好的共聚焦显微镜,约为200 nm),但可以提供有关活细胞的精细动态信息。在过去的十年中,随着新型荧光传感器和分子的发展,荧光显微镜(特别是共聚焦显微镜)在活细胞研究中的应用大大增加。我们项目的目标是将共焦成像技术的空间分辨率提高到几十纳米,使用一种新的显微技术,我们称之为“差分反卷积显微镜(DDM)”。此外,我们计划将DDM的时间分辨率提高到传统扫描共焦显微镜的时间分辨率之外,所以我们可以比目前使用标准扫描共聚焦显微镜更快地获得动态信息。我们相信,DDM,当成功开发,将显着提高荧光显微镜的分辨率和能力,特别是在活细胞成像中的应用,激光功率需要足够低,以避免细胞损伤和时间分辨率必须足够快,以解决感兴趣的动态。该项目的目标是将共焦成像技术的分辨率提高到数十纳米的长度尺度,并使用一种新的显微镜方法,我们称之为“差分反卷积显微镜(DDM)”,以亚毫秒的时间分辨率进行活细胞成像。DDM使用与共聚焦显微镜相当的实验参数(例如,类似的激光功率),因此固有地适合用于易碎样品,例如活的哺乳动物细胞。
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(2)
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Daniel T Chiu其他文献
Daniel T Chiu的其他文献
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{{ truncateString('Daniel T Chiu', 18)}}的其他基金
Predicting neonatal health outcomes from placental and fetal brain extracellular vesicles in pregnant opioid users
通过妊娠阿片类药物使用者的胎盘和胎儿脑细胞外囊泡预测新生儿健康结果
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10747661 - 财政年份:2023
- 资助金额:
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Assessment of fetal brain health via circulating exRNA carriers for opioid use disorder in pregnancy
通过循环 exRNA 载体评估妊娠期阿片类药物使用障碍的胎儿大脑健康
- 批准号:
10722040 - 财政年份:2023
- 资助金额:
$ 29.22万 - 项目类别:
Single Extracellular Vesicle Sorting and Analysis
单个细胞外囊泡分选和分析
- 批准号:
10376602 - 财政年份:2019
- 资助金额:
$ 29.22万 - 项目类别:
Single Extracellular Vesicle Sorting and Analysis
单个细胞外囊泡分选和分析
- 批准号:
9811315 - 财政年份:2019
- 资助金额:
$ 29.22万 - 项目类别:
Developing Bioinformatic and Microfluidic Single Cell Methods for Studying Intratumoral Heterogeneity in Acute Myeloid Leukemia
开发生物信息学和微流体单细胞方法来研究急性髓系白血病的瘤内异质性
- 批准号:
10533290 - 财政年份:2018
- 资助金额:
$ 29.22万 - 项目类别:
Developing Bioinformatic and Microfluidic Single Cell Methods for Studying Intratumoral Heterogeneity in Acute Myeloid Leukemia
开发生物信息学和微流体单细胞方法来研究急性髓系白血病的瘤内异质性
- 批准号:
10601429 - 财政年份:2018
- 资助金额:
$ 29.22万 - 项目类别:
Developing Bioinformatic and Microfluidic Single Cell Methods for Studying Intratumoral Heterogeneity in Acute Myeloid Leukemia
开发生物信息学和微流体单细胞方法来研究急性髓系白血病的瘤内异质性
- 批准号:
10058820 - 财政年份:2018
- 资助金额:
$ 29.22万 - 项目类别:
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