globalchange  > 影响、适应和脆弱性
项目编号: 1444240
项目名称:
EAGER: Mobile-phone based single molecule imaging of DNA and length quantification to analyze copy-number variations in genome
作者: Aydogan Ozcan
承担单位: University of California-Los Angeles
批准年: 2013
开始日期: 2014-10-01
结束日期: 2016-09-30
资助金额: USD299995
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
英文关键词: mobile-phone ; single molecule imaging ; smartphone ; dna molecule ; multifunctional portable imaging device ; dna imaging ; state-of-the-art mobile-phone ; single molecule dna sequencing ; copy-number variation ; field-portable imaging interface ; image single molecule dna fragment ; imaging system ; genomethe aim ; dna platform ; next-generation mobile micro-analysis ; dna length-estimation method ; dna fragment ; initial imaging system ; dna length quantification ; length quantification ; next generation mobile-phone
英文摘要: PI: Ozcan, Aydogan
Institution: University of California-Los Angeles
Proposal number: 1444240
Title: EAGER: Mobile-phone based single molecule imaging of DNA and length quantification to analyze copy-number variations in genome

The aim of this proposal is to create a transformative fluorescent microscopy system that is integrated with next generation mobile-phones for imaging single DNA molecules. This field-portable imaging interface running on a smartphone will have the sensitivity and contrast to image single molecule DNA fragments over a large field of view. Demonstrating DNA imaging on a state-of-the-art mobile-phone would serve as a stepping stone to next-generation mobile micro-analysis, sensing and diagnostic tools and could lead to single molecule DNA sequencing on a smartphone.

The proposed design will have the capability to be broadly used in various clinical applications including early detection of cancers (e.g. stomach and brain), nervous system disorders and drug resistance in infectious diseases. This cellphone based single molecule imaging, DNA platform could also assist health-care professionals, epidemiologists and policy makers to track emerging trends and shed more light on cause-effect relationships.

Intellectual Description:
Single molecule imaging and DNA length quantification, both of which are currently not feasible using mobile-phone based imaging systems; require extreme detection sensitivity, signal-to-noise ratio (SNR), spatial resolution and automated sample handling and processing interfaces. To provide a transformative solution to these important tasks, the PI will design a multifunctional portable imaging device installed on a smartphone which will allow sample preparation and single molecule imaging within the same opto-mechanical attachment. This fluorescence microscope on a smartphone will be designed by integrating a laser diode, a disposable nano-channel chip, an external lens and a thin-film based emission filter in a robust attachment created by 3D printing techniques. High SNR fluorescence signal detection will be achieved by implementing high-angle/oblique illumination so that the direct excitation beam will not enter the low NA collection lens. They will also develop a compressive sampling based DNA length-estimation method which will utilize (i) the measured point spread function of the fluorescent microscope on the mobile-phone; (ii) the spatial sparsity of the objects (fluorescently labeled DNA molecules); and (iii) the linearity of the stretched DNA molecules within the field of view as a-priori constraints to estimate the length of the DNA fragment of interest with an accuracy that is significantly better than the resolution of their initial imaging system.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/95444
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Aydogan Ozcan. EAGER: Mobile-phone based single molecule imaging of DNA and length quantification to analyze copy-number variations in genome. 2013-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Aydogan Ozcan]'s Articles
百度学术
Similar articles in Baidu Scholar
[Aydogan Ozcan]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Aydogan Ozcan]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.