Microscopic Color Imaging And Calibration

Only methods that allows for true color imaging in for lens-free and mobile-phone holographic imagingMight present a promising solution for telepathology applications in resource limited environments, where digital whole-slide scanners are not availableLow cost and portable

UCLA researchers led by Prof. Aydogan Ozcan have developed a new method to generate high resolution color correct images for lens-free and mobile-phone holographic microscopy imaging. This method combines the wide field of view and high resolution advantages of lens-free holographic microscopy with accurate color reproduction, generating images that match the chromatic perception of human vision. The technology merges pixel super-resolution and the color de-multiplexing process to significantly suppress the artifacts in wavelength multiplexed holographic color imaging.

Background

Lens-free holographic microscopy can achieve wide-field imaging of samples in a cost-effective and portable setup, making it a promising technique for point-of-care and telepathology applications. However, due to relatively narrow-band sources used in holographic microscopy, conventional colorization methods that use images reconstructed at discrete wavelengths, corresponding to, red (R), green (G) and blue (B) channels, yield color artifacts and are not truly colorimetric (e.g. non-linear color matching functions). A technology that bridges the benefits of holographic microscopy with true color representation (as seen in light microscopy) would revolutionize large field of view imaging for a variety of applications.

Related Materials

Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproduction. Zhang Y, Wu Y, Zhang Y, Ozcan A. Sci Reports. June 2016.

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
• 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
• 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

27520/2016-739-0

Related Cases

2016-739-0

USA