Researchers at the University of Southern California (USC) have developed spectrally encoded enhanced representations (SEER), a new color spectrum identification method that provides greater clarity and works up to 67 times faster and at 2.7 times greater definition than current techniques.
SEER relies on mathematical computations to analyze the data faster, processing vibrant fluorescent tags across the full spectrum of colors for more detail.
The researchers will use SEER to detect early stages of lung disease and potential damage from pollutants in patients.
In addition, life sciences researchers have started adopting the system in their experimental pipelines in an effort to further improve efficiency.
Said USC's Francesco Cutrale, "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."
From University of Southern California
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