Fluorescent Imaging Of Single Nano-Particles And Viruses On A Smart-Phone

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

Fluorescence field portable microscopeTelemedicinePoint-of-care applicationsSmart phone accessory fluorescence microscope

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.

20160070092

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.

Related Materials

Q. Wei, H. Qi, W. Luo, D. Tseng, S. J. Ki, Z. Wan, Z. Göröcs, L. A. Bentolila, T.-T. Wu, R. Sun, and A. Ozcan. Fluorescent Imaging of Single Nanoparticles and Viruses on a Smart Phone. ACS Nano. 2013.

Additional Technologies by these Inventors

• Ultra-Large Field-of-View Fluorescent Imaging Using a Flatbed Scanner
• Detection and Spatial Mapping of Mercury Contamination in Water Samples Using a Smart-Phone
• Automated Semen Analysis Using Holographic Imaging
• Tunable Vapor-Condensed Nano-Lenses
• Single Molecule Imaging and Sizing of DNA on a Cell Phone
• Rapid, Portable And Cost-Effective Yeast Cell Viability And Concentration Analysis Using Lensfree On-Chip Microscopy And Machine Learning
• Wide-Field Imaging Of Birefringent Crystals In Synovial Fluid Using Lens-Free Polarized Microscopy For Crystal Arthropathy Diagnosis
• Quantitative Fluorescence Sensing Through Highly Autofluorescent And Scattering Media Using Cost-Effective Mobile Microscopy
• Demosaiced Pixel Super-Resolution For Multiplexed Holographic Color Imaging
• Microscopic Color Imaging And Calibration
• Pixel Super-Resolution Using Wavelength Scanning
• High-Throughput And Label-Free Single Nanoparticle Sizing Based On Time-Resolved On-Chip Microscopy
• Holographic Opto-Fluidic Microscopy
• Lensfree Wide-Field Fluorescent Imaging On A Chip Using Compressive Decoding
• Revolutionizing Micro-Array Technologies: A Microscopy Method and System Incorporating Nanofeatures
• 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
• Mobile Phone Based Fluorescence Multi-Well Plate Reader
• Phase Recovery And Holographic Image Reconstruction Using Neural Networks
• Lensfree Tomographic Imaging
• Air Quality Monitoring Using Mobile Microscopy And Machine Learning

Tech ID/UC Case

27525/2014-155-0

Related Cases

2014-155-0

USA

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