Abstract: A system includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine the calibrated spectral measurement, wherein the calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a selected set of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements using one or more field material targets, prior stored full calibrations for each of the one or more field material targets, and the selected set of settable gaps.

Abstract: A system includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine the calibrated spectral measurement, wherein the calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a selected set of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements using one or more field material targets, prior stored full calibrations for each of the one or more field material targets, and the selected set of settable gaps.

Abstract: A system for typing biological cells includes a tunable Fabry-Perot etalon, and imaging sensor, and a processor. The imaging sensor acquires one or more images of one or more biological cells from light transmitted through the tunable Fabry-Perot etalon. Each image represents signal associated with one or more wavelengths transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine a type of each of the one or more biological cells. Determining the type uses a machine learning algorithm and is based at least in part on one or more of an image segmentation, a patch extraction, a feature extraction, a feature compression, a deep feature extraction, a feature fusion, a feature classification, and a prediction map reconstruction.

Abstract: Methods and media for compensating for irregular motion in three-dimensional spectroscopy are provided herein. Exemplary methods include: receiving a plurality of spectrographs for a series of respective locations and corresponding images of the respective locations, each spectrograph of the plurality of spectrographs being produced using a spectrographic data set of a plurality of spectrographic data sets, each of the plurality of spectrographic data sets being measured by a spectrometer and each of the corresponding images being captured by a camera at substantially the same time, the spectrometer being coupled to the camera such that the spectrometer and camera move in tandem and at least partially share the same point of view; 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.

Abstract: Methods and media for compensating for irregular motion in three-dimensional spectroscopy are provided herein. Exemplary methods include: receiving a plurality of spectrographs for a series of respective locations and corresponding images of the respective locations, each spectrograph of the plurality of spectrographs being produced using a spectrographic data set of a plurality of spectrographic data sets, each of the plurality of spectrographic data sets being measured by a spectrograph and each of the corresponding images being captured by a camera at substantially the same time, the spectrograph being coupled to the camera such that the spectrograph and camera move in tandem and at least partially share the same point of view; 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.

Abstract: 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.