Ultrahigh-resolution and single-molecule stimulated Raman scattering (SRS) microscopy
超高分辨率单分子受激拉曼散射 (SRS) 显微镜
基本信息
- 批准号:9899269
- 负责人:
- 金额:$ 31.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdoptedAlgorithmsAlkynesAmino AcidsAmplifiersAreaBasic ScienceBedsBiologicalBiophotonicsBlinkingCancer BiologyCarbonCellsChemical StructureChemicalsColorComputational algorithmCouplingCrystallizationDetectionDevelopmentDiagnosticDiseaseDyesFluorescenceFluorescence MicroscopyGenerationsGlucoseGoalsHome environmentImageImmunologyLabelLasersLipidsMedical ResearchMethodsMicroscopeMicroscopyMolecular TargetNeurosciencesOpticsPharmaceutical PreparationsPropertyPumpRadialReportingResolutionSamplingSchemeSpecificitySpeedSystemTechniquesTechnologyTestingTubulinbasebioimagingbiological researchbiomaterial compatibilitycomplex biological systemsdesigndetectordiffraction of lightimaging platformimprovedinstrumentinstrumentationinterdisciplinary approachinventionmolecular scalemultiplexed imagingnext generationnovelprecision medicinesecond harmonicsingle moleculevibration
项目摘要
Project summary
Super-resolution optical microscopy promises to revolutionize biological imaging, as it enables non-
invasive interrogation at molecular scale. Indeed, the emergence of super-resolution fluorescence microscopy
has quickly impacted the way biologists study cells and subcellular phenomenon.
However, super-resolution fluorescence microscopy has fundamental limitations due to the use the
fluorescence as contrast mechanism. In particular, it has three major limitations: (1) it cannot reveal chemical
composition of the sample; (2) it cannot interrogate small biomolecules due to the relatively bulky fluorescent
tags; (3) it cannot image a large number of targets due to the color barrier (only 2~5 fluorescent colors can be
practically resolved).
The goal of this project is to develop a novel super-resolution imaging platform by exploiting stimulated
Raman scattering (SRS) as the contrast mechanism. During the past 10 years since its invention in 2008, SRS
microscopy has made widespread impact in biomedical imaging. Being a chemically sensitive method, SRS is
well known for its label-free chemical analysis in a quantitative manner. With the recent development of tiny
bio-orthogonal tags such as alkynes, SRS has been proven successful in interrogating a wide spectrum of
small biomolecules such as lipids, glucose, amino acids, and drugs. Very recently, novel vibrational dye
palettes with fine spectral resolution have been reported to achieve super-multiplex electronic pre-resonance
(epr) SRS imaging of more than 20 targets simultaneously. Importantly, all these utilizes of SRS microscopy is
limited by light diffraction.
With SRS being a perfectly complementary contrast mechanism to the prevalent fluorescence, the
current proposal aims to develop the necessary methods to bring SRS microscopy to the realm of super
resolution. (1) How to improve the resolution for general chemical imaging and small biomolecule imaging; (2)
how to break the diffraction limit of the super-multiplex epr-SRS imaging; (3) how to develop the matching
vibrational dyes for single molecule SRS.
Towards these goals, we had laid out a systematic plan as to how to crystallize this concept into a
powerful technology platform. An inter-disciplinary approach has been planned out including instrumentation
development, computational imaging, and novel probes synthesis. In Aim 1, we will develop and build new
instrumentation. In Aim 2, we will explore new computational algorithm. In Aim 3, we will design next-
generation vibrational probes. If successfully implemented, we will establish a transformative platform. The
resulting super-resolution chemical imaging would find wide applications in systematically unraveling complex
biological systems such as neuroscience, immunology and cancer biology for basic research, disease
diagnostics and precision medicine.
1
项目概要
超分辨率光学显微镜有望彻底改变生物成像,因为它使非
分子尺度的侵入性询问。事实上,超分辨率荧光显微镜的出现
迅速影响了生物学家研究细胞和亚细胞现象的方式。
然而,超分辨率荧光显微镜由于使用
荧光作为对比机制。特别是,它具有三个主要局限性:(1)它不能揭示化学成分。
样品的成分; (2) 由于荧光相对较大,因此无法询问小生物分子
标签; (3)由于色差的原因,无法对大量目标进行成像(只能对2~5种荧光颜色进行成像)
实际解决了)。
该项目的目标是通过利用受激光来开发一种新型的超分辨率成像平台
拉曼散射(SRS)作为对比机制。自2008年发明以来,SRS在过去的10年里
显微镜在生物医学成像领域产生了广泛的影响。作为一种化学敏感方法,SRS 是
以其定量方式的无标记化学分析而闻名。随着近年来微型化的发展
生物正交标签,例如炔烃,SRS 已被证明可以成功地询问多种
小生物分子,例如脂质、葡萄糖、氨基酸和药物。最近,新型振动染料
据报道,具有精细光谱分辨率的调色板可以实现超级多重电子预共振
(epr) 同时对 20 多个目标进行 SRS 成像。重要的是,SRS 显微镜的所有这些用途都是
受光衍射的限制。
由于 SRS 是对流行荧光的完美补充对比机制,
目前的提案旨在开发必要的方法,将 SRS 显微镜带入超级领域
解决。 (1)如何提高普通化学成像和生物小分子成像的分辨率; (2)
如何突破超多重epr-SRS成像的衍射极限; (3)如何制定配套
用于单分子 SRS 的振动染料。
为了实现这些目标,我们制定了一个系统的计划,如何将这个概念具体化为一个
强大的技术平台。已计划采用跨学科方法,包括仪器仪表
开发、计算成像和新型探针合成。在目标 1 中,我们将开发和建立新的
仪器仪表。在目标 2 中,我们将探索新的计算算法。在目标 3 中,我们将设计下一步——
生成振动探头。如果成功实施,我们将建立一个变革性的平台。这
由此产生的超分辨率化学成像将在系统地揭示复杂的问题上得到广泛的应用
生物系统,例如用于基础研究、疾病的神经科学、免疫学和癌症生物学
诊断和精准医学。
1
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 }}
Wei Min其他文献
Wei Min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('Wei Min', 18)}}的其他基金
Super-multiplex optical imaging: development of novel spectroscopy and probes to illuminate complex biomedicine
超级多重光学成像:开发新型光谱学和探针来阐明复杂的生物医学
- 批准号:
10622905 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别:
High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolism
组织代谢活动的高分辨率体积成像及其在肿瘤代谢中的应用
- 批准号:
10117249 - 财政年份:2020
- 资助金额:
$ 31.54万 - 项目类别:
High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolism
组织代谢活动的高分辨率体积成像及其在肿瘤代谢中的应用
- 批准号:
10551256 - 财政年份:2020
- 资助金额:
$ 31.54万 - 项目类别:
High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolism
组织代谢活动的高分辨率体积成像及其在肿瘤代谢中的应用
- 批准号:
10376225 - 财政年份:2020
- 资助金额:
$ 31.54万 - 项目类别:
Ultrahigh-resolution and single-molecule stimulated Raman scattering (SRS) microscopy
超高分辨率单分子受激拉曼散射 (SRS) 显微镜
- 批准号:
10377375 - 财政年份:2019
- 资助金额:
$ 31.54万 - 项目类别:
Super-multiplex vibrational imaging in living cells
活细胞中的超多重振动成像
- 批准号:
9921414 - 财政年份:2018
- 资助金额:
$ 31.54万 - 项目类别:
Super-multiplex vibrational imaging in living cells
活细胞中的超多重振动成像
- 批准号:
10163876 - 财政年份:2018
- 资助金额:
$ 31.54万 - 项目类别:
Stimulated emission reduced fluorescence (SERF) for breaking and extending the fundamental imaging-depth of two photon microscopy
受激发射减少荧光 (SERF) 用于打破和扩展双光子显微镜的基本成像深度
- 批准号:
9025791 - 财政年份:2015
- 资助金额:
$ 31.54万 - 项目类别:
Optical imaging of small bio-molecules in living cells and tissues by nonlinear Raman microscopy coupled with vibrational tags
通过非线性拉曼显微镜结合振动标签对活细胞和组织中的小生物分子进行光学成像
- 批准号:
9298651 - 财政年份:2015
- 资助金额:
$ 31.54万 - 项目类别:
Ultra-deep tissue imaging by super-nonlinear fluorescence microscopy
超非线性荧光显微镜超深层组织成像
- 批准号:
8769558 - 财政年份:2014
- 资助金额:
$ 31.54万 - 项目类别:
相似国自然基金
血管内皮细胞通过E2F1/NF-kB/IL-6轴调控巨噬细胞活化在眼眶静脉畸形中的作用及机制研究
- 批准号:82301257
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
睡眠剥夺通过上调BMAL1/IL-17轴促进三级淋巴结构形成加重哮喘的研究
- 批准号:82300039
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
S100A6通过调控ZNF750组蛋白甲基化促进糖尿病角质形成细胞分化障碍的机制研究
- 批准号:82302802
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
肿瘤相关成纤维细胞通过CCL5/CCR5轴促进神经内分泌前列腺癌顺铂耐药的机制研究
- 批准号:82373358
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
鼻腔共生表皮葡萄球菌通过抗菌肽-moDC-CCL17通路抑制过敏性鼻炎的分子机制
- 批准号:82302595
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
Unified, Scalable, and Reproducible Neurostatistical Software
统一、可扩展且可重复的神经统计软件
- 批准号:
10725500 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别:
Improving Diagnosis in Gastrointestinal Cancer: Integrating Prediction Models into Routine Clinical Care
改善胃肠癌的诊断:将预测模型纳入常规临床护理
- 批准号:
10641060 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别:
A visualization interface for BRAIN single cell data, integrating transcriptomics, epigenomics and spatial assays
BRAIN 单细胞数据的可视化界面,集成转录组学、表观基因组学和空间分析
- 批准号:
10643313 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别:
Design and Pilot Test of A Prediabetes Digital Patient Activation Tool
糖尿病前期数字患者激活工具的设计和试点测试
- 批准号:
10648646 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别:
mAnaging siCkle CELl disease through incReased AdopTion of hydroxyurEa in Nigeria (ACCELERATE)
在尼日利亚通过增加羟基脲的使用来控制镰状细胞病(加速)
- 批准号:
10638598 - 财政年份:2023
- 资助金额:
$ 31.54万 - 项目类别: