Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.

A variable focus imaging lens assembly has different, calibrated settings for each of multiple different wavelength ranges. Images are captured for each wavelength range using the different settings, corrected and stacked to form an image data cube. Using multiple wavelength ranges allows a scene or object to be imaged by multispectral imagers, hyperspectral imagers and imaging spectrometers using an overall wide wavelength range.

A variable focus imaging lens assembly has different, calibrated settings for each of multiple different wavelength ranges. Images are captured for each wavelength range using the different settings, corrected and stacked to form an image data cube. Using multiple wavelength ranges allows a scene or object to be imaged by multispectral imagers, hyperspectral imagers and imaging spectrometers using an overall wide wavelength range.

A method of signal processing includes receiving samples of a signal and processing the samples using a time-windowed transform function to generate spectral data corresponding to each time window. The method includes generating first spectrogram data based on magnitudes of the spectral data and generating second spectrogram data based on phase differences of the spectral data. The method further includes combining the first spectrogram data and the second spectrogram data to generate a combined spectrogram and processing the combined spectrogram to generate output.

A method of signal processing includes receiving samples of a signal and processing the samples using a time-windowed transform function to generate spectral data corresponding to each time window. The method includes generating first spectrogram data based on magnitudes of the spectral data and generating second spectrogram data based on phase differences of the spectral data. The method further includes combining the first spectrogram data and the second spectrogram data to generate a combined spectrogram and processing the combined spectrogram to generate output.

The present disclosure relates to a method and related system for spectrum optimization of an illumination light source. Spectrum optimization according to the present disclosure can be based on various optimization parameters, including but not limited to luminous efficacy, color rendering effect, luminous efficacy of radiation, mesopic efficacy of radiation, cirtopic efficacy of radiation, etc. The present method and system are capable of optimizing illumination performance of a light source in various aspects in an individual or integrated manner. Further, the present method and system are capable of accommodating different illumination purposes and conditions by combining and prioritizing different optimization parameters.

The present disclosure relates to a method and related system for spectrum optimization of an illumination light source. Spectrum optimization according to the present disclosure can be based on various optimization parameters, including but not limited to luminous efficacy, color rendering effect, luminous efficacy of radiation, mesopic efficacy of radiation, cirtopic efficacy of radiation, etc. The present method and system are capable of optimizing illumination performance of a light source in various aspects in an individual or integrated manner. Further, the present method and system are capable of accommodating different illumination purposes and conditions by combining and prioritizing different optimization parameters.

A hyperspectral sensing device may include an optical collector configured to collect light and to transfer the collected light to a sensor having spectral resolution sufficient for sensing hyperspectral data. In some examples, the sensor comprises a compact spectrometer. The device further comprises a power supply, an electronics module, and an input/output hub enabling the device to transmit acquired data (e.g., to a remote server). In some examples, a plurality of hyperspectral sensing devices are deployed as a network to acquire data over a relatively large area. Methods are disclosed for performing dark-current calibration and/or radiometric calibration on data obtained by the hyperspectral sensing device, and/or another suitable device. Data obtained by the device may be represented in a functional basis space, enabling computations that utilize all of the hyperspectral data without loss of information.

A hyperspectral sensing device may include an optical collector configured to collect light and to transfer the collected light to a sensor having spectral resolution sufficient for sensing hyperspectral data. In some examples, the sensor comprises a compact spectrometer. The device further comprises a power supply, an electronics module, and an input/output hub enabling the device to transmit acquired data (e.g., to a remote server). In some examples, a plurality of hyperspectral sensing devices are deployed as a network to acquire data over a relatively large area. Methods are disclosed for performing dark-current calibration and/or radiometric calibration on data obtained by the hyperspectral sensing device, and/or another suitable device. Data obtained by the device may be represented in a functional basis space, enabling computations that utilize all of the hyperspectral data without loss of information.

A hyperspectral sensing device may include an optical collector configured to collect light and to transfer the collected light to a sensor having spectral resolution sufficient for sensing hyperspectral data. In some examples, the sensor comprises a compact spectrometer. The device further comprises a power supply, an electronics module, and an input/output hub enabling the device to transmit acquired data (e.g., to a remote server). In some examples, a plurality of hyperspectral sensing devices are deployed as a network to acquire data over a relatively large area. Methods are disclosed for performing dark-current calibration and/or radiometric calibration on data obtained by the hyperspectral sensing device, and/or another suitable device. Data obtained by the device may be represented in a functional basis space, enabling computations that utilize all of the hyperspectral data without loss of information.