In some embodiments, a system comprises a head-mounted frame removably coupleable to the user's head; one or more light sources coupled to the head-mounted frame and configured to emit light with at least two different wavelengths toward a target object in an irradiation field of view of the light sources; one or more electromagnetic radiation detectors coupled to the head-mounted member and configured to receive light reflected after encountering the target object; and a controller operatively coupled to the one or more light sources and detectors and configured to determine and display an output indicating the identity or property of the target object as determined by the light properties measured by the detectors in relation to the light properties emitted by the light sources.

A display device includes a display, an illuminance sensor, an IR sensor disposed at a lower side of the display device, a memory to store correction data set by respective reflectance, and a processor. The processor is configured to calculate a reflectance of a floor surface, in an environment in which the display device is arranged, based on a sensing value of the IR sensor, obtain correction data corresponding to the calculated reflectance from stored correction data of the memory, correct an illuminance value sensed by using the illuminance sensor according to the obtained correction data, and control an operation of the display based on the corrected illuminance value.

A method for correcting top-of-atmosphere reflectance data in high altitude imagery to a ground surface reflectance data. Transmission of light through Earth's atmosphere and its suspended load of aerosol particles degrades light within the visible through near infrared portion of the spectrum. This can severely affect the quality of the data recorded by orbiting Earth observation satellites. The method first measures the degree of atmospheric effects upon reflectance, then reverses these effects to deliver surface reflectance data and imagery cleaned of haze and thin clouds.

In some embodiments, a system comprises a head-mounted frame removably coupleable to the user's head; one or more light sources coupled to the head-mounted frame and configured to emit light with at least two different wavelengths toward a target object in an irradiation field of view of the light sources; one or more electromagnetic radiation detectors coupled to the head-mounted member and configured to receive light reflected after encountering the target object; and a controller operatively coupled to the one or more light sources and detectors and configured to determine and display an output indicating the identity or property of the target object as determined by the light properties measured by the detectors in relation to the light properties emitted by the light sources.

A method and system for analyzing a tissue sample is provided. The method includes: a) sequentially interrogating a tissue sample with excitation lights, wherein at least one of the excitation lights is configured to produce autofluorescence emissions from one or more biomolecules of interest, and diffuse reflectance signals from the tissue sample; b) using a photodetector to detect the autofluorescence emissions and/or the diffuse reflectance signals from the tissue sample, and to produce photodetector signals representative of the detected said autofluorescence emissions and/or the detected said diffuse reflectance signals; c) filtering the light emitted or reflected from the tissue sample; d) processing the photodetector signals for each sequential application of excitation light, including producing an image representative of the photodetector signals produced by each sequential application of excitation light; and e) analyzing the tissue sample using each image to identify the presence of diseased tissue within the tissue sample.

Disclosed are systems and methods utilizing an infrared probe and discriminating software to rapidly discriminate abnormal tissue processes from normal tissue during surgery, physical examination of in-situ lesions, and in the assessment of biopsy and resected tissue specimens. Examples demonstrate discrimination of cancerous from noncancerous tissues. The discriminating software, i.e. the metrics, algorithms, calibrant spectra, and decision equations, allows tissue to be identified as abnormal or normal using a minimum of infrared (IR) wavelengths in order to be measured rapidly. The probe records IR metrics approximately 1000 times faster than current commercial instruments, i.e. on a timescale fast enough for clinical use. The probe uses a tunable mid-infrared laser with a small set of selected wavelengths that are optimized for detecting the chemical and molecular signatures of tissue specific lesions to include, but not limited to, cancer, preneoplasia, intracellular accumulations (e.g. steatosis), inflammation, and wound healing.

An example system includes a first spectrometer, a second spectrometer, and an electronic control device communicatively coupled to the first spectrometer and the second spectrometer. The first spectrometer is operable to emit first light using a first light source towards a sample region between the first spectrometer and the second spectrometer. The first spectrometer is also operable to measure first reflected light reflected using a first photodetector from an object in the sample region. The second spectrometer is operable to measure first transmitted light transmitted through the object using a second photodetector. The electronic control device is operable to determine, based on at least one of the measured first reflected light or the measured first transmitted light, a spectral distribution of light corresponding to the object.

Systems, methods, and computer-readable media are disclosed for a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

The present disclosure relates to an inspection apparatus, a sensing apparatus, a sensitivity control apparatus, an inspection method, and a program that perform inspection with improved accuracy. The inspection apparatus includes a detection section for detecting a plurality of different wavelength region components of ambient light reflected from an inspection target to be inspected, and a control section for controlling the sensitivity of each of the different wavelength region components. The control section controls the sensitivity by calculating a histogram indicating the detection level in every wavelength region of light reflected from the inspection target that is detected by the detection section, and determining, based on histograms of particular spectroscopic components, whether or not the sensitivity is properly set for the detection section. The present technology is applicable, for example, to an inspection apparatus that inspects vegetation.

In some embodiments, a system comprises a head-mounted frame removably coupleable to the user's head; one or more light sources coupled to the head-mounted frame and configured to emit light with at least two different wavelengths toward a target object in an irradiation field of view of the light sources; one or more electromagnetic radiation detectors coupled to the head-mounted member and configured to receive light reflected after encountering the target object; and a controller operatively coupled to the one or more light sources and detectors and configured to determine and display an output indicating the identity or property of the target object as determined by the light properties measured by the detectors in relation to the light properties emitted by the light sources.