Collaborative Research: Fast Spectrally-Encoded Photoacoustic Microscopy for Multi-Parameter Bioenergetic Characterization of Heterogeneous Cancer Cells
合作研究:快速光谱编码光声显微镜用于异质癌细胞的多参数生物能表征
基本信息
- 批准号:2036800
- 负责人:
- 金额:$ 31.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-02-15 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Compared to their normal counterparts, cancer cells have distinctive bioenergetic (energy generating) functions related to cell metabolism and tumorigenic (tumor causing) properties with significant cell-to-cell variations. Thus, bioenergetic characterization at the single-cell level is necessary to reveal the differing cancer cell energy producing pathways. Such understanding is important for not only fundamental cancer research but also for accurate cancer diagnosis and prognosis and for the development of personalized anti-cancer therapies. In this project, a new high-speed and high-resolution spectroscopic imaging technology and a high-density microwell array will be developed. If successful, this project will lay a solid foundation to achieve a significant method for studying cancer cell metabolism and heterogeneity. Learning and training opportunities will be provided for graduate and undergraduate students as well as Grade 7-12 teachers and students. Technical translation and product development will be explored through teaming with bioinstrumentation companies.The goal of this research is to achieve single-cell oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) characterization for a large population of cancer cells. OCR and ECAR are closely related to the two main metabolic pathways in cells, oxidative phosphorylation and glycolysis, and therefore serve as primary indicators of their bioenergetic phenotypes. To date, electrical or fluorescence methods have been developed to characterize the OCR of a small number of cells. However, it is difficult to scale these methods up for multi-parameter characterization of a large cell population. To accomplish this goal, a fast spectrally-encoded photoacoustic microscopy will be developed to enable high-throughput and simultaneous OCR andECAR characterization on a single measurement platform. Specifically, the Hadamard transformation and optical switching with digital micromirror device will be employed to enable fast tuning of the excitation wavelength. A new water-immersible micro scanning mirror will be developed to provide wide-field optical and acoustic co-scanning. Combining these two new techniques will allow high-speed photoacoustic data acquisition at multiple excitation wavelengths that are programmable or reconfigurable for a specific target.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
与它们的正常对应物相比,癌细胞具有与细胞代谢相关的独特的生物能量(能量产生)功能和具有显著细胞间差异的致瘤(肿瘤引起)性质。因此,在单细胞水平上的生物能量表征对于揭示不同的癌细胞能量产生途径是必要的。这种理解不仅对基础癌症研究很重要,而且对准确的癌症诊断和预后以及个性化抗癌疗法的发展也很重要。在本项目中,将开发新的高速和高分辨率光谱成像技术和高密度微孔阵列。如果成功,该项目将为实现研究癌细胞代谢和异质性的重要方法奠定坚实的基础。将为研究生和本科生以及7-12年级的教师和学生提供学习和培训机会。通过与生物仪器公司合作,探索技术翻译和产品开发。本研究的目标是实现大规模癌细胞群体的单细胞耗氧率(OCR)和细胞外酸化率(ECAR)表征。OCR和ECAR与细胞中的两种主要代谢途径氧化磷酸化和糖酵解密切相关,因此作为其生物能量表型的主要指标。迄今为止,已经开发了电学或荧光方法来表征少量细胞的OCR。然而,很难将这些方法扩大用于大细胞群体的多参数表征。为了实现这一目标,将开发一种快速光谱编码光声显微镜,以便在单个测量平台上实现高通量和同时的OCR和ECAR表征。具体而言,阿达玛变换和光学开关与数字放大器设备将被用来使快速调谐的激发波长。一种新型的可浸入水中的微扫描镜将被研制出来,以提供宽视场的光学和声学共扫描。结合这两种新技术将允许高速光声数据采集在多个激发波长,可编程或重新配置为一个特定的target.This奖项反映了NSF的法定使命,并已被认为是值得的支持,通过评估使用基金会的智力价值和更广泛的影响审查标准。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Location-Dependent Spatiotemporal Antialiasing in Photoacoustic Computed Tomography
- DOI:10.1109/tmi.2022.3225565
- 发表时间:2022-11
- 期刊:
- 影响因子:10.6
- 作者:Peng Hu;Lei Li;Lihong V. Wang
- 通讯作者:Peng Hu;Lei Li;Lihong V. Wang
Optical-resolution photoacoustic microscopy with a needle-shaped beam
- DOI:10.1038/s41566-022-01112-w
- 发表时间:2022-12-01
- 期刊:
- 影响因子:35
- 作者:Cao, Rui;Zhao, Jingjing;Wang, Lihong, V
- 通讯作者:Wang, Lihong, V
{{
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 }}
Lihong Wang其他文献
A Nanoparticle RIG-I Agonist for Cancer Immunotherapy
用于癌症免疫治疗的纳米颗粒 RIG-I 激动剂
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Lihong Wang;Mohamed Wehbe;L. Pastora;Jinming Yang;Kyle M. Garland;Kyle W. Becker;Carcia S. Carson;K. Gibson;David Ulkoski;Venkata R. Krishnamurthy;O. Fedorova;A. Richmond;A. Pyle;John T. Wilson - 通讯作者:
John T. Wilson
Studies and Simulations of PbPb Collisions at sNN=2.76 TeV with the Glauber Monte Carlo Model
sNN=2.76 TeV 下 PbPb 碰撞的格劳伯蒙特卡罗模型研究与模拟
- DOI:
10.1088/1742-6596/2386/1/012049 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jian;Lihong Wang;Ning Ni;Pengli Wang;Xinyun Jiang;Yuxin Liu - 通讯作者:
Yuxin Liu
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud
FluteDB:用于传感器云的高效且可扩展的内存时间序列数据库
- DOI:
10.1016/j.jpdc.2018.07.021 - 发表时间:
2018-12 - 期刊:
- 影响因子:0
- 作者:
Chen Li;Bo Li;Md Zakirul Alam Bhuiyan;Lihong Wang;Jinghui Si;Guanyu Wei;Jianxin Li - 通讯作者:
Jianxin Li
Differential proteomics analysis of mononuclear cells in cerebrospinal fluid of Parkinson's disease.
帕金森病脑脊液中单个核细胞的差异蛋白质组学分析。
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:1.4
- 作者:
L. Xing;Dongtao Wang;Lihong Wang;Wenjie Lan;Suyue Pan - 通讯作者:
Suyue Pan
Modeling relation paths for knowledge base completion via joint adversarial training
通过联合对抗训练对知识库完成的关系路径进行建模
- DOI:
10.1016/j.knosys.2020.105865 - 发表时间:
2020-08 - 期刊:
- 影响因子:0
- 作者:
Chen Li;Xutan Peng;Shanghang Zhang;Hao Peng;Philip S. Yu;Min He;Linfeng Du;Lihong Wang - 通讯作者:
Lihong Wang
Lihong Wang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('Lihong Wang', 18)}}的其他基金
Collaborative Research/IDBR: High-Throughput Measurement of Oxygen Consumption Rates of Single Cells Using Wide-Field Optical-Resolution Photoacoustic Microscopy
合作研究/IDBR:使用宽视场光学分辨率光声显微镜高通量测量单细胞的耗氧率
- 批准号:
1255930 - 财政年份:2013
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: AF: Medium: Fast Combinatorial Algorithms for (Dynamic) Matchings and Shortest Paths
合作研究:AF:中:(动态)匹配和最短路径的快速组合算法
- 批准号:
2402283 - 财政年份:2024
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
Collaborative Research: AF: Medium: Fast Combinatorial Algorithms for (Dynamic) Matchings and Shortest Paths
合作研究:AF:中:(动态)匹配和最短路径的快速组合算法
- 批准号:
2402284 - 财政年份:2024
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
- 批准号:
2320407 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
- 批准号:
2320405 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: ATD: Fast Algorithms and Novel Continuous-depth Graph Neural Networks for Threat Detection
合作研究:ATD:用于威胁检测的快速算法和新颖的连续深度图神经网络
- 批准号:
2219956 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: Disentangling runoff- and Terminus-driven Velocity Variations of Fast Flowing Outlet Glaciers
合作研究:解开快速流动的出口冰川径流和终点驱动的速度变化
- 批准号:
2234731 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
- 批准号:
2320404 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: ATD: Fast Algorithms and Novel Continuous-depth Graph Neural Networks for Threat Detection
合作研究:ATD:用于威胁检测的快速算法和新颖的连续深度图神经网络
- 批准号:
2219904 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: Integrated Experiments and Modeling for Spatial, Finite, and Fast Rheometry of Graded Hydrogels using Inertial Cavitation
合作研究:利用惯性空化对梯度水凝胶进行空间、有限和快速流变测量的综合实验和建模
- 批准号:
2232426 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Collaborative Research: Equipment: MRI Consortium: Track 2 Development of a Next Generation Fast Neutron Detector
合作研究:设备:MRI 联盟:下一代快中子探测器的 Track 2 开发
- 批准号:
2320400 - 财政年份:2023
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant