Revolutionizing Micro-Array Technologies: A Microscopy Method and System Incorporating Nanofeatures

Minimally trained personnel to operateSubcellular resolution with large FOVCompact, cheap, and lightweightLensfree holographic imagingDoes not need lenses, lasers, or bulky components

On-chip microscopyMedical diagnosticsCytometryTelemedicine applications involving global health problems (i.e. malaria, TB, and HIV)

Researchers led by Professor Aydogan Ozcan have invented a novel lensless incoherent holographic microscope with a resolution of ~500 nm over a field of view (FOV) of ~5 mm2 and can achieve subcellular resolution over a large FOV of 24 mm2. This compact and lightweight microscope does not require any lenses, lasers, or other bulky optical and mechanical components and instead, utilizes a simple light emitting diode and a compact optoelectronic sensor-array.

9202835

Background

Lensfree imaging has gained interest due to the potential to eliminate bulky optical components and to develop on-chip microscope systems, which would be beneficial for microfluidic systems used in medical diagnostics and cytometry applications. A lightweight and compact, lensfree-imaging modality would also be a cheaper alternative to conventional lens-based microscopy, especially for telemedicine applications. Current imaging modalities that are compact, cost-effective, and easy to use either have poor performance or low resolution, limiting their practical use.

Related Materials

B. Khademhosseinieh, I. Sencan, G. Biener, T. W. Su, A. F. Coskun, D. Tseng, and A. Ozcan. Lensfree On-Chip Imaging using Nanostructured Surfaces. Appl. Phys. Lett. 2010.
O. Mudanyali, D. Tseng, C. Oh, S. O. Isikman, I. Sencan, W. Bishara, C. Oztoprak, S. Seo, B. Khademhosseini, and A. Ozcan. Compact, Light-Weight and Cost-Effective Microscope based on Lensless Incoherent Holography for Telemedicine Applications. Lab Chip. 2010.

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
• Fluorescent Imaging Of Single Nano-Particles And Viruses On A Smart-Phone
• Holographic Opto-Fluidic Microscopy
• Lensfree Wide-Field Fluorescent Imaging On A Chip Using Compressive Decoding
• 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

27531/2009-454-0

Related Cases

2009-454-0

USA

Desktop View