Abstract: An electronic device such as a portable electronic device may include a single-shot alignment-free spectrometer with no moving parts. The spectrometer may include a diffractive member, such as a grating, an aperture, and an image sensor that generates data in response to incident light. The diffractive member may diffract the incident light based on its wavelength and angle of incidence, and the aperture may further encode the light. The data generated by the image sensor may be used by control circuitry in combination with correlations between spectrometer measurements and known light profiles to determine the wavelength and angle of incidence of the light. These correlations may be determined using a deep neural network. Control circuitry may adjust one or more settings of the electronic device based on the wavelength and angle of incidence, or may use the wavelength and angle of incidence to determine information regarding an external object.

Abstract: A method is provided for characterizing a biological sample having a plurality of fluorophores, including a red fluorophore and a blue fluorophore, comprises exciting the red fluorophore via absorption of a photon order of n by a single wavelength band of light that has longer wavelengths than a typical wavelength band of light known to excite the red fluorophore would have. The method further comprises exciting the blue fluorophore substantially via absorption of a photon order of n+1 by the single wavelength band of light. The method also comprises simultaneously detecting light emitted by the red fluorophore and the blue fluorophore. The method further comprises creating an image or a temporal series for sensing from the light detected in the plurality of orthogonal colors.

Abstract: An electronic device such as a portable electronic device may include a single-shot alignment-free spectrometer with no moving parts. The spectrometer may include a diffractive member, such as a grating, an aperture, and an image sensor that generates data in response to incident light. The diffractive member may diffract the incident light based on its wavelength and angle of incidence, and the aperture may further encode the light. The data generated by the image sensor may be used by control circuitry in combination with correlations between spectrometer measurements and known light profiles to determine the wavelength and angle of incidence of the light. These correlations may be determined using a deep neural network. Control circuitry may adjust one or more settings of the electronic device based on the wavelength and angle of incidence, or may use the wavelength and angle of incidence to determine information regarding an external object.

Abstract: Methods for label-free characterization of untagged molecules within a biological sample in-situ. The untagged molecules may be constituent of extracellular vesicles, and are excited in the biological sample with at least one wavelength band of light derived from a single stream of optical pulses. Light emitted by the untagged molecules by SHG, THG, 2PAF and 3PAF processes is detected. Separate measures of the biological sample corresponding to light emitted by the untagged molecules in each of the SHG, THG, 2PAF and 3PAF processes are derived. On that basis, normal extracellular vesicles may be differentiated from extracellular vesicles associated with a tumor on the basis of a specified signature of characteristics of images of SHG, THG, 2PAF and 3PAF processes.

Abstract: Methods for label-free characterization of untagged molecules within a biological sample in-situ. The untagged molecules may be constituent of extracellular vesicles, and are excited in the biological sample with at least one wavelength band of light derived from a single stream of optical pulses. Light emitted by the untagged molecules by SHG, THG, 2PAF and 3PAF processes is detected. Separate measures of the biological sample corresponding to light emitted by the untagged molecules in each of the SHG, THG, 2PAF and 3PAF processes are derived. On that basis, normal extracellular vesicles may be differentiated from extracellular vesicles associated with a tumor on the basis of a specified signature of characteristics of images of SHG, THG, 2PAF and 3PAF processes.