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
基本信息
- 批准号:1255930
- 负责人:
- 金额:$ 32.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-05-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Collaborative Research/IDBR: High-Throughput Measurement of Oxygen Consumption Rates of Single Cells Using Wide-Field Optical-Resolution Photoacoustic MicroscopyAn award is made to the Washington University in St. Louis to develop a novel wide-field opticalresolution photoacoustic microscope (OR-PAM) and a new high-density single-cell array substrate to achieve simultaneous and high-throughput measurements of single-cell oxygen consumption rates (OCRs) for a large population of cells. OCR is a critical parameter of the functioning of the cells, which is directly linked to their metabolic state. So far, OCR measurements have been performed on bulk populations of cells. Recent studies have shown increasing evidence of cell-to-cell heterogeneity among previously assumed homogeneous populations. Measuring the average response of a cell population to a stimulus may not well reflect individual cell responses. Therefore, conducting OCR measurements on single cells will provide more accurate information on cellular functioning, not only for individual cells but also for the entire cell population. OR-PAM is capable of "label-free" detection of a wide range of biochemicals with high sensitivity and spatial resolution. Combining wide-field OR-PAM with high-density single-cell array substrates will enable high-throughput screening of a large population of single cells in a timely manner for the first time.This project will lay a solid technical foundation for developing a new class of scientific instruments to study heterogeneity in cellular metabolism. These instruments will be accurate, high-resolution, highthroughput, easy-to-use, and low-cost. Therefore, they will significantly impact many areas of biological research. The multidisciplinary nature of this research is expected to offer learning and training opportunities for graduate and undergraduate students to cross their discipline boundaries by learning new principles and methods. Grade 7-12 teachers and students from underrepresented school districts will be involved. Research results will be incorporated into the PIs' course development at both the undergraduate and graduate levels. They will be also disseminated through paper publications and outreach activities to the research community and general public. In addition to the outreach plans, a comprehensive dissemination plan has also been developed. The developed methods, devices and system will be actively promoted to the biological research community through conference presentations, invited talks and seminars. Collaborations and partnerships with bioinstrumentation industries will be established to explore potential opportunities for further development and commercialization.
协作研究/IDBR:使用宽场光学分辨率光声显微镜奖授予圣路易斯的华盛顿大学,以开发出新型的宽场光源光声显微镜(OR-PAM),并实现单一型号的单元阵列,并实现了单一的高密度阵列,从而,使用宽场光学显微镜奖和新的高密度的单一型号的单一型号,对单个单元的单一测量率开发了单一的新型光量表,从(OCR)用于大量细胞。 OCR是细胞功能的关键参数,该参数直接链接到其代谢状态。到目前为止,已经对大量细胞种群进行了OCR测量。最近的研究表明,在先前假定的同质种群中,细胞到细胞异质性的证据越来越多。测量细胞群对刺激的平均反应可能无法很好地反映单个细胞反应。因此,对单个细胞进行OCR测量将不仅针对单个细胞,而且对于整个细胞群体提供更准确的信息。 OR-PAM能够“无标记”检测具有高灵敏度和空间分辨率的广泛的生化物。首次将宽大或PAM与高密度的单细胞阵列底物组合,可以及时地及时筛选大量的单个单元。该项目将为开发一类新的科学工具提供稳固的技术基础,以研究细胞代谢中的异质性。这些仪器将是准确的,高分辨率的,高通量,易于使用和低成本的。因此,它们将显着影响生物学研究的许多领域。这项研究的多学科性质有望为研究生和本科生提供学习和培训机会,以通过学习新的原则和方法来跨越纪律界限。来自代表性不足的学区的7-12年级教师和学生将参与其中。研究结果将纳入本科和研究生水平的PIS课程发展中。他们还将通过纸质出版物和外展活动传播给研究界和公众。除了外展计划外,还制定了全面的传播计划。开发的方法,设备和系统将通过会议演讲,邀请的演讲和研讨会积极促进生物学研究社区。将建立与生物启示行业的合作和合作伙伴关系,以探索进一步发展和商业化的潜在机会。
项目成果
期刊论文数量(0)
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Lihong Wang其他文献
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
Research on deep learning recommendation algorithm integrating user preferences
- DOI:
10.1117/12.3003853 - 发表时间:
2023-10 - 期刊:
- 影响因子:0
- 作者:
Lihong Wang - 通讯作者:
Lihong Wang
Molecular cloning and characterization of amh, dax1 and cyp19a1a genes and their response to 17α-methyltestosterone in Pengze crucian carp.
彭泽鲫鱼amh、dax1和cyp19a1a基因的分子克隆、表征及其对17α-甲基睾酮的响应。
- DOI:
10.1016/j.cbpc.2013.03.005 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Meng Li;Lihong Wang;Houpeng Wang;Hongwei Liang;Yao Zheng;Fang Qin;Shaozhen Liu;Yingying Zhang;Zaizhao Wang - 通讯作者:
Zaizhao Wang
Major Policy Tools
主要政策工具
- DOI:
10.1596/9780821399880_ch03 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Hinh T. Dinh;Thomas G. Rawski;A. Zafar;Lihong Wang;Eleonora Mavroeidi;Xin Tong;Pengfei Li - 通讯作者:
Pengfei Li
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
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{{ truncateString('Lihong Wang', 18)}}的其他基金
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
- 批准号:
2036800 - 财政年份:2021
- 资助金额:
$ 32.07万 - 项目类别:
Standard Grant
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