Microscopic Color Imaging And Calibration
- 技术优势
- 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
- 详细技术说明
- 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.
- *Abstract
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UCLA researchers in the Department of Electrical Engineering have developed a color calibration method for lens-free and mobile-phone microscopy images allowing for high resolution and accurate color reproduction.
- *Principal Investigation
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Name: Aydogan Ozcan
Department:
Name: Yichen Wu
Department:
Name: Yibo Zhang
Department:
- 其他
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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.
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- Pixel Super-Resolution Using Wavelength Scanning
- High-Throughput And Label-Free Single Nanoparticle Sizing Based On Time-Resolved On-Chip Microscopy
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- Sparsity-Based Multi-Height Phase Recovery In Holographic Microscopy
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- Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning
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Tech ID/UC Case
27520/2016-739-0
Related Cases
2016-739-0
- 国家/地区
- 美国
