Abstract: A system for performing advanced spectrometry using a camera of a personal electronic device. Light from a sample is captured via a light dispersion device that diffracts the light in accordance with the wavelength of that light. A sample spectrum image is captured using a camera of a personal electronic device. Spectral data is extracted from the sample spectrum image and the spectral data is wavelength calibrated by mapping each pixel position in the sample spectrum image to a wavelength. Features are extracted from the wavelength calibrated spectral data and used by classification module, trained on a dataset of features extracted from spectral data of known samples, to classify the sample. In some embodiments, a calibration spectrum image captured from a calibration light source having a known spectrum (e.g., in the same image frame using a bifurcated fiber optic cable) is used to wavelength calibrate the spectral data.

Abstract: A self-calibrating spectrometer that captures a sample spectrum image of a sample via a light dispersion device and a calibration spectrum image of a calibration light source having a known spectrum (e.g., in the same image frame using a bifurcated fiber optic cable). Spectral data is extracted from the sample spectrum image and wavelength calibrated by matching calibration spectral data extracted from the calibration spectrum image to the known spectrum of the calibration light source, mapping each pixel position of the calibration spectrum image to a wavelength of the known spectrum of the calibration light source, and mapping each pixel position of the sample spectral data to a wavelength based on the pixel position-to-wavelength mapping. In some embodiments, extracted features from the wavelength calibrated spectral data are used by classification module, trained on a dataset of features extracted from spectral data of known samples, to classify the sample.