Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...
Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...
Abstract: Data gaps exist in the measured spectral reflectance and atmospheric data from the radiometric calibration network (RadCalNet) due to instrument malfunctions or weather-related interferences ...
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