Close

Search

Search Menu
Photonics Media Photonics Buyers' Guide Photonics Spectra BioPhotonics EuroPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

Technique Interprets Hyperspectral Images Using Phasor Approach

Facebook Twitter LinkedIn Email Comments
An imaging technique called spectrally encoded enhanced representations (SEER) provides greater clarity and works up to 67 times faster and at 2.7 times greater definition than existing spectral imaging techniques, according to its developers at the University of Southern California (USC). SEER uses mathematical computations to parse data quickly and achieve simultaneous color visualization of the multiple spectral components of hyperspectral fluorescence images.

SEER transforms wavelength space into color maps for RGB display visualization using the phasor method. Originally developed for fluorescence lifetime analysis, the phasor approach is used by SEER to enhance the visualization of multi- and hyperspectral images.

Spectrally encoded enhanced representations (SEER) technology by USC works up to 67 times faster with 2.7 times greater definition than other techniques. Courtesy of Francesco Cutrale, USC.

Spectrally encoded enhanced representations (SEER) technology by USC works up to 67 times faster with 2.7 times greater definition than other techniques. Courtesy of Francesco Cutrale, USC.

SEER explores the phasor plot as a whole and represents the complete information set as a color image, maintaining efficiency and minimizing user interaction, even with large data sizes. Tests showed that SEER can process a 3.7-GB data set with 1.26 × 108 spectra in 6.6 seconds and a 43.88-GB data set with 1.47 × 109 spectra in 87.3 seconds, including denoising of data.

“There is a number of scenarios where this after-the-fact analysis, while powerful, would be too late in experimental or medical decision-making,” professor Francesco Cutrale said. “There is a gap between acquisition and analysis of the hyperspectral data, where scientists and doctors are unaware of the information contained in the experiment. SEER is designed to fill this gap.”

The SEER algorithm, first authored by Wen Shi and Daniel Koo at the Translational Imaging Center of USC, will be used for detecting early stages of lung disease and potential damage from pollutants in patients in a collaboration with doctors at Children’s Hospital Los Angeles. The USC researchers said that scientists in the life sciences field have started adopting SEER in their experimental pipelines in an effort to further improve efficiency. In the future, the SEER technology could become a smartphone app for use in remote medicine, food safety, or counterfeit currency detection, Cutrale said.

The research was published in Nature Communications (www.doi.org/10.1038/s41467-020-14486-8). 

Imaging technology, called SEER, developed by USC scientists, produces clearer images faster than existing methods. Courtesy of Francesco Cutrale, USC.

BioPhotonics
May/Jun 2020
GLOSSARY
hyperspectral imaging
Methods for identifying and mapping materials through spectroscopic remote sensing. Also called imaging spectroscopy; ultraspectral imaging.
Research & TechnologyeducationAmericasUniversity of Southern Californiaimaginglight sourcesopticshyperspectral imagingBiophotonicsmedicalcomputational imagingfluorescence hyperspectral imagingSEERphasor methodMicroscopyBioScan

Comments
back to top
Facebook Twitter Instagram LinkedIn YouTube RSS
©2020 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

Photonics Media, Laurin Publishing
x Subscribe to BioPhotonics magazine - FREE!
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.