IDR: ECCS - EPDT: Ultra high-throughput holographic on-chip cytometry using inertial micro-fluidics
IDR:ECCS - EPDT:使用惯性微流体的超高通量全息片上细胞术
基本信息
- 批准号:0930501
- 负责人:
- 金额:$ 59.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."0930501OzcanFlow cytometry is a workhorse of modern cell biology and clinical diagnostics, but suffers from three significant downsides: (i) limited throughput; (ii) high cost; and (iii) challenges towards miniaturization while still keeping its throughput. Addressing these limitations is likely to increase the availability and application areas of cytometers, significantly transforming biomedical research and clinical analysis. In this proposal, to address the existing limitations of cell analysis platforms, the aim is to (1) Integrate inertial microfluidic focusing with an on-chip holographic imaging platform; and (2) Test the performance of this integrated system for conducting complete blood counts with white blood cell differentials. Given its compact and cost-effective design without sheath fluids or lenses, together with its ultra-large throughput, and unique holographic information content, the proposed on-chip cytometry platform is poised to have a transformative impact for stem cell, immunology & cancer related research, as well as clinical diagnostics especially in resource limited or point-of-care settings.This proposal will also establish a complementary educational outreach program which will involve high school students from a predominantly underprivileged and socio-economically impacted neighborhood of San Fernando Valley, CA. Summer research projects, seminars and open house visits will serve the high school students to interact with a cutting edge research environment, helping to increase their scientific curiosity and shaping their career goals in science and engineering. Furthermore, during the timeline of this proposal, to better contribute to the development, recruitment, retention, and graduation of underrepresented engineering students on UCLA campus, several undergraduate research opportunities will be created to supplement the existing activities of the PI's in this regard. Finally, a new graduate level course titled "Lab-on-a-Chip Photonics"; will be developed, which aims to integrate "knowledge"; and "design"; aspects of engineering education into a single course.
“这项奖励是根据2009年美国复苏和再投资法案(公法111-5)资助的。”ozcanflow cytometry(流式细胞术)是现代细胞生物学和临床诊断的主力,但有三个显著的缺点:(i)有限的吞吐量;(二)成本高;(三)在保持其吞吐量的同时实现小型化的挑战。解决这些限制可能会增加细胞仪的可用性和应用领域,显著改变生物医学研究和临床分析。为了解决现有细胞分析平台的局限性,本文的目标是:(1)将惯性微流控聚焦与片上全息成像平台集成;(2)测试该综合系统的性能,以进行白细胞分化的全血细胞计数。鉴于其紧凑且经济高效的设计,无需鞘液或透镜,加上其超大吞吐量和独特的全息信息内容,拟议的片上细胞仪平台将对干细胞,免疫学和癌症相关研究以及临床诊断产生变革性影响,特别是在资源有限或护理点环境中。该提案还将建立一个补充的教育推广计划,该计划将涉及来自加利福尼亚州圣费尔南多谷主要贫困和社会经济受影响社区的高中生。夏季研究项目,研讨会和开放参观将为高中生提供与前沿研究环境的互动,帮助提高他们的科学好奇心并塑造他们在科学和工程方面的职业目标。此外,在本提案实施期间,为了更好地促进加州大学洛杉矶分校校园内未被充分代表的工程学生的发展、招聘、保留和毕业,将创造几个本科生研究机会,以补充PI在这方面的现有活动。最后,一个名为“芯片实验室光子学”的新研究生水平课程;将开发,其目的是整合“知识”;和“设计”;将工程教育的各个方面纳入单一课程。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Aydogan Ozcan其他文献
Deep Learning-designed Diffractive Materials for Optical Computing and Computational Imaging
用于光学计算和计算成像的深度学习设计的衍射材料
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Aydogan Ozcan - 通讯作者:
Aydogan Ozcan
All-optical object classification through unknown phase diffusers using a single-pixel diffractive machine vision system
使用单像素衍射机器视觉系统通过未知相位漫射器进行全光学物体分类
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Yuhang Li;Bijie Bai;Yilin Luo;Ege Cetintas;Aydogan Ozcan - 通讯作者:
Aydogan Ozcan
Volumetric fluorescence microscopy using convolutional recurrent neural networks
使用卷积循环神经网络的体积荧光显微镜
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Luzhe Huang;Yilin Luo;Y. Rivenson;Aydogan Ozcan - 通讯作者:
Aydogan Ozcan
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
使用深度学习和金字塔采样对乳腺癌图像进行自动 HER2 评分
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Şahan Yoruç Selçuk;Xilin Yang;Bijie Bai;Yijie Zhang;Yuzhu Li;Musa Aydin;Aras Firat Unal;Aditya Gomatam;Zhen Guo;Morgan Angus Darrow;Goren Kolodney;Karine Atlan;T. Haran;N. Pillar;Aydogan Ozcan - 通讯作者:
Aydogan Ozcan
Super-Resolution Terahertz Imaging Through a Plasmonic Photoconductive Focal-Plane Array
通过等离子体光电导焦平面阵列进行超分辨率太赫兹成像
- DOI:
10.1364/cleo_si.2023.sm1n.2 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Xurong Li;Deniz Mengu;Aydogan Ozcan;M. Jarrahi - 通讯作者:
M. Jarrahi
Aydogan Ozcan的其他文献
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{{ truncateString('Aydogan Ozcan', 18)}}的其他基金
PFI-TT: A Rapid Multiplexed Diagnostic Tool for Serology of Tick-Borne Diseases
PFI-TT:蜱传疾病血清学快速多重诊断工具
- 批准号:
2345816 - 财政年份:2024
- 资助金额:
$ 59.88万 - 项目类别:
Continuing Grant
Biopsy-free, label-free 3D virtual histology of intact skin
完整皮肤的免活检、免标记 3D 虚拟组织学
- 批准号:
2141157 - 财政年份:2022
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
Deep learning-based serological test for point-of-care analysis of COVID-19 immunity with a paper-based multiplexed sensor
基于深度学习的血清学测试,使用纸基多重传感器对 COVID-19 免疫力进行即时分析
- 批准号:
2149551 - 财政年份:2022
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
I-Corps: Multiplexed paper-based test for rapid diagnosis of early-stage Lyme Disease
I-Corps:用于快速诊断早期莱姆病的多重纸质测试
- 批准号:
2055749 - 财政年份:2021
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
EAGER: High-throughput early detection and analysis of COVID-19 plaque formation using time-lapse coherent imaging and deep learning
EAGER:使用延时相干成像和深度学习对 COVID-19 斑块形成进行高通量早期检测和分析
- 批准号:
2034234 - 财政年份:2020
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
EAGER: All-Optical Information Processing Device for Seeing Through Diffusers at the Speed of Light
EAGER:以光速透过漫射器的全光学信息处理装置
- 批准号:
2054102 - 财政年份:2020
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
NSF EAGER: DEEP LEARNING-BASED VIRTUAL HISTOLOGY STAINING OF TISSUE SAMPLES
NSF EAGER:基于深度学习的组织样本虚拟组织学染色
- 批准号:
1926371 - 财政年份:2019
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
PFI:BIC Human-Centered Smart-Integration of Mobile Imaging and Sensing Tools with Machine Learning for Ubiquitous Quantification of Waterborne and Airborne Nanoparticles
PFI:BIC 以人为中心的移动成像和传感工具与机器学习的智能集成,可实现水性和空气性纳米粒子的普遍定量
- 批准号:
1533983 - 财政年份:2015
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
EAGER: Mobile-phone based single molecule imaging of DNA and length quantification to analyze copy-number variations in genome
EAGER:基于手机的 DNA 单分子成像和长度定量分析基因组中的拷贝数变异
- 批准号:
1444240 - 财政年份:2014
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
EFRI-BioFlex: Cellphone-based Digital Immunoassay Platform for High-throughput Sensitive and Multiplexed Detection and Distributed Spatio-Temporal Analysis of Influenza
EFRI-BioFlex:基于手机的数字免疫分析平台,用于流感的高通量灵敏多重检测和分布式时空分析
- 批准号:
1332275 - 财政年份:2013
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
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