A method for illumination of an object to be observed to be observed and the background, the method comprising the steps of: obtaining a relationship between wavelength and spectral radiance of the object while the object and the background are illuminated by a first light source that emits light that has a continuous spectrum in the wavelength range from 380 nanometers and 780 nanometers, and determining a value of representative wavelength that corresponds to a maximum value of the spectral radiance of the object plotted against wavelength or values of representative wavelength that correspond to maximum values of the spectral radiance of the object plotted against wavelength; determining a value or values of comparative wavelength; and illuminating the object and the background with light of the value or values of representative wavelength and light of the value or values of comparative wavelength.

This disclosure relates to a system and a method for automated recognition of drugs. This disclosure also relates to a system for automated recognition of drugs comprising a hyper-spectral imaging system. This disclosure also relates to a hyper-spectral imaging system configured to automatically recognize drugs by using a neural network. This disclosure relates to training the neural network to identify a drug type (e.g., the name of the drug) based on an image (e.g., normal visible image and/or hyperspectral image) of the drug.

A photonic integrated circuit including an input for receiving input electromagnetic radiation having a bandwidth greater than 60 nm; a spectral splitter splitting the electromagnetic radiation into a plurality of spectral channels; a modulator for modulating an amplitude and a phase of one or more of the spectral channels so as to form modulated outputs; and a spectral recombiner for combining the modulated outputs into a single output port outputting output electromagnetic radiation having the desired output spectral intensity profile shaped by and synthesized from the modulated outputs.

An apparatus and a method for shaping a light spectrum are presented. The apparatus includes a spatial light modulator (140) provided for shaping the spectrum of a primary beam. The spatial light modulator (140) includes an array of cells in which each cell is operable in a first state and a second state. The apparatus also includes a controller (160) configured to change the state of a subset of cells iteratively, based on a stochastic process, to shape the spectrum.

A cost effective multicolor sensor and related software achieves a spectral response that closely approximates an ideal photo response to measure optical measurement, for example photosynthetic photo flux density (PPFD). The spectra error of the sensor is smaller than that of the best commercially available sensor at a significantly reduced cost. The sensor may include an 8×2 array of filtered photodiodes and spectral photo sensors that are linearly combined with the appropriate mathematically determined coefficients to create a corrected spectral response curve that has a spectral error much smaller than the best commercial available sensors made by physical coating methods for the entire desired range.

Systems and techniques for multispectral lighting reproduction, in one aspect, include: one or more light sources having different lighting spectra; and one or more computers comprising at least one processor and at least one memory device, the one or more computers programmed to drive the one or more light sources directly using intensity coefficients that have been determined by comparing first data for a multi-color reference object photographed by a camera in a scene with second data for the multi-color reference object photographed when lit by respective ones of the different lighting spectra of the one or more light sources.

A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

An optical testing system includes: a testing probe, a collecting unit, and a processing unit, wherein the testing probe includes a plurality of spectrum photodiodes used for emitting and casting monochromatic light to a sample, wherein the wavelength of the light emitted by at least one spectrum photodiode is different from that of any other. The collecting unit collects multi-way signal light obtained after the emitted monochromatic light is reflected by the sample surface. The processing unit includes a photoelectric conversion module, an adding module and a testing module. The photoelectric conversion module converts the collected multi-way signal light respectively to multi-way electrical signals. The adding module performs an adding operation for the multi-way electrical signal to obtain an operation result. The testing module tests a quality parameter of the sample according to the operation result, and outputs a testing result.

Detection sensitivity of optical computing devices may be improved by utilizing multiple integrated computational elements in combination with one another. Optical computing devices containing multiple integrated computational elements may comprise: two or more integrated computational elements that are identical to one another and optically interact sequentially with incident electromagnetic radiation, such that at least a portion of the photons from the incident electromagnetic radiation optically interacts with each integrated computational element; wherein the sequential optical interaction of the incident electromagnetic radiation with the two or more integrated computational elements increases a detection sensitivity of the optical computing device relative to that obtained when only one of the integrated computational elements is present; and a detector that receives the photons that have optically interacted with each integrated computational element.

Optical computing devices may include capacitance-based nanomaterial detectors. For example, an optical computing device may include a light source that emits electromagnetic radiation into an optical train extending from the light source to a capacitance-based nanomaterial detector; a material positioned in the optical train to optically interact with the electromagnetic radiation and produce optically interacted light; and the capacitance-based nanomaterial detector comprising one or more nano-sized materials configured to have a resonantly-tuned absorption spectrum and being configured to receive the optically interacted light, apply a vector related to the characteristic of interest to the optically interacted light using the resonantly-tuned absorption spectrum, and generate an output signal indicative of the characteristic of interest.