Fluorescent Imaging Of Single Nano-Particles And Viruses On A Smart-Phone
- 技术优势
- Easily attached to camera of smart phonesWeighs only ~186 gFluorescent imaging of NPs and single virusesComplementary addition to other cell-phone-based microscopy, sensing, and diagnosticsCan be used in remote and resource-limited environments
- 技术应用
- Fluorescence field portable microscopeTelemedicinePoint-of-care applicationsSmart phone accessory fluorescence microscope
- 详细技术说明
- Researchers led by Professor Aydogan Ozcan have developed a novel field portable microscope that can be installed on a smart phone for imaging of individual NPs and viruses. This unique lightweight (~186 g) and compact opto-mechanical device can be attached to existing cell phone cameras. This cell-phone-based fluorescence imaging technology is promising for imaging various fluorescently labeled specimen such as bacteria and viruses, point-of-care viral load testing, and other biomedical tests conducted in remote or resource-limited environments.
- *Abstract
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UCLA researchers in the Department of Electrical Engineering have developed a novel field portable fluorescence microscope that can be used as a smart phone accessory.
- *IP Issue Date
- Mar 10, 2016
- *Principal Investigation
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Name: Aydogan Ozcan
Department:
Name: Qingshan Wei
Department:
- 申请号码
- 20160070092
- 其他
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State Of Development
Prototype microscopes have been developed and have been able to detect isolated 100 nm fluorescent particles as well as individual fluorescently labeled human cytomegaloviruses, where the sizes of the particles were validated via scanning electron microscopy.
Background
Conventional imaging methods used for the detection of subwavelength particles, such as nanoparticles (NPs) and viruses, rely on sophisticated and expensive microscopy systems with bulky optical components, which greatly limits their practicality for field work in remote or resource-limited setting. For portable field microscopes based on scattering or fluorescence, it has been challenging to reduce the detection signal-to-noise ratio and the contrast at subwavelength dimensions. Improvements to lightweight, inexpensive, and portable microscopes would be especially useful for biomedical testing as well as telemedicine and point-of-care applications in remote or resource-limited field work.
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- High-Throughput And Label-Free Single Nanoparticle Sizing Based On Time-Resolved On-Chip Microscopy
- Holographic Opto-Fluidic Microscopy
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- Sparsity-Based Multi-Height Phase Recovery In Holographic Microscopy
- Computational Out-Of-Focus Imaging Increases The Space-Bandwidth Product In Lens-Based Coherent Microscopy
- Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning
- Deep Learning Microscopy
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Tech ID/UC Case
27525/2014-155-0
Related Cases
2014-155-0
- 国家/地区
- 美国
