Systems for adjusting for irregular movement during spectral imaging are provided herein. Exemplary systems include: a spectrograph measuring a plurality of spectrographic data sets; a camera capturing images, a processor communicatively coupled to the spectrograph and the camera; and a memory coupled to the processor, the memory storing instructions executable by the processor to perform a method comprising: receiving a plurality of spectrographs for a series of respective locations and the images corresponding to the respective locations; generating a continuous image using the images; identifying a respective corresponding position in the continuous image for each spectrograph, such that each spectrograph is a measurement of the respective position; and associating each spectrograph with the respective position.

An optical link including an optical computing device having an integrated computational element (ICE), and a method for using the device to perform a remote measurement of a characteristic of a sample with the optical computing device are provided. The optical computing device provides an optical computing signal proportional to a characteristic of a sample from an interacted light provided to the ICE. The device includes an optical transducer to provide a modulating signal based on the optical computing signal and a modulator to modulate a first portion of a transmission light in an optical waveguide based on the modulating signal.

A method for correcting an infrared absorption spectrum comprises the steps of:—providing a measured infrared absorption spectrum from a sample,—determining a baseline correction curve by using at least one spectral interval in which an absorption quantity is expected to be null for at least two wavelength quantities,—subtracting the baseline correction curve from the measured infrared absorption spectrum, to obtain a first corrected absorption spectrum,—extracting at least one absorption band whose position is out of the fingerprint region,—comparing each extracted absorption band with the expected absorption band,—correcting the baseline correction curve in accordance with the results of the comparing step, to obtain a corrected baseline correction curve, and—subtracting the corrected baseline correction curve from the measured infrared absorption spectrum, to obtain a second corrected absorption spectrum.

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.

The present invention concerns a method for determining at least one absorption band in a spectrum, the method at least comprising the steps of:—providing a measured absorption spectrum from the sample,—providing a calculation spectrum,—from the calculation spectrum, extracting at least one absorption band,—calculating a residual spectrum by removing each extracted absorption band from the calculation spectrum, testing whether a predefined stop criterion is fulfilled by the residual spectrum,—if the stop criterion is not fulfilled, using the residual spectrum as the calculation spectrum and iterating the extracting step, the forming step, the calculating step and the testing step, and—if the stop criterion is fulfilled, outputting each extracted absorption band.

Systems for measuring optical properties of a specimen are disclosed. The systems are configured to sample signals related to the measurement of the properties of a specimen, and perform software-based coherent detection of the signals to generate resulting measurements are based on the signals acquired at substantially the same time instance. This facilitates the displaying or generating of the desired measurements in real time. In one configuration, the system is configured to direct a modulated light signal at a selected wavelength incident upon a specimen. In another configuration, the system is configured to direct a combined light signal, derived from a plurality of light signals at different wavelengths and modulated with different frequencies, incident upon a specimen. In yet another configuration, the system is configured to direct a plurality of light signals modulated with different frequencies incident upon different regions of a specimen.

A system and method for detecting pathogenetic analytes including exciting a large target input area with radiation to produce scattered light to form an input beam, reformatting, with an optical slicer system, the input beam to produce an output beam, dispersing the output beam to produce an output area, capturing excitation data from the output area; and determining, with a processor, a presence of a particular analyte in the input area based on the excitation data. The input area can be greater than 100 micron squared and less than one million microns squared. The optical slicer system can be a high throughput virtual slit system. SERS analysis detects analytes of interest with both high resolution and sensitivity simultaneously, and is applicable for detection of the presence of viruses.

An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.

A processing apparatus, comprises: a first acquirer configured to acquire a first specific information distribution of an object based on acoustic waves propagating from the object onto which light is irradiated; a second acquirer configured to acquire a characteristic value of the first specific information distribution of the object; a third acquirer configured to acquire information indicating a correspondence between an optical coefficient and the characteristic value of the first specific information distribution; and a fourth acquirer configured to acquire the optical coefficient of the object using the characteristic value of the first specific information distribution of the object and the information indicating the correspondence.

A totagram is produced by an iterative spectral phase recovery process resulting in complete information recovery using special masks, without a reference beam. Using these special masking systems reduce computation time, number of masks, and number of iterations. The special masking system is (1) a unity mask together with one or more bipolar binary masks with elements equal to 1 and −1, or (2) a unity mask together with one or more phase masks, or (3) a unity mask together with one pair of masks or more than one pair of masks having binary amplitudes of 0's and 1's, in which the masks in the pair are complementary to each other with respect to amplitude, or (4) one or more pairs of complementary masks with binary amplitudes of 0's and 1's without a unity mask.