Spectral imaging technology based on on-chip spectroscopy can serve numerous aerospace, industrial, and consumer electronics applications. With each application requiring a different set and number of spectral bands, the absence of scalable and high-cost custom spectroscopy solutions has prevented the widespread adoption of multispectral imaging (MSI). Although lithography and hard-mask steps continue to mature, it is still an expensive, cumbersome, and inflexible solution. In this paper, we demonstrate a compact, highly customizable imaging spectrometer scheme (licensed patent), which maintains high efficiencies (~85%), narrow bandwidth (~30 nm), and high average optical density (~OD2) across the visible to near-infrared spectrum. Spectral...
"NIR Hyperspectral Imaging" is a universal tool to measure and control chemical properties of object...
This paper reviews the activities at OKSI related to imaging spectroscopy presenting current and fut...
Optical systems for remote sensing commonly employ the principle of multi-/hyperspectral imaging, wh...
Spectroscopy is a salient practice for the identification and measurement of matter, but typical spe...
There are many limitations to existing multispectral imaging modalities, such as speed, cost, range,...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.Ca...
Conventional multispectral imaging (MSI) is achieved by utilizing a spectral filter array--a set of ...
Spectral imaging (or imaging spectroscopy) is a powerful technique that acquires the complete light ...
Imaging spectroscopy is of great importance for applications such as environmental sensing and astro...
When light is incident upon tissue, imaging contrast can be obtained from a range of interactions in...
Recently developed tunable MEMS Fabry- Perot interferometers based on Ag thin-film mirrors[1] have e...
Quantification of spectral data is of great interest in many fields of science, since it can provide...
Hyperspectral and multispectral imaging can record a single scene across a range of spectral bands. ...
We describe how spectral imaging, linear un-mixing and cluster computing have been combined to aid b...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
"NIR Hyperspectral Imaging" is a universal tool to measure and control chemical properties of object...
This paper reviews the activities at OKSI related to imaging spectroscopy presenting current and fut...
Optical systems for remote sensing commonly employ the principle of multi-/hyperspectral imaging, wh...
Spectroscopy is a salient practice for the identification and measurement of matter, but typical spe...
There are many limitations to existing multispectral imaging modalities, such as speed, cost, range,...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.Ca...
Conventional multispectral imaging (MSI) is achieved by utilizing a spectral filter array--a set of ...
Spectral imaging (or imaging spectroscopy) is a powerful technique that acquires the complete light ...
Imaging spectroscopy is of great importance for applications such as environmental sensing and astro...
When light is incident upon tissue, imaging contrast can be obtained from a range of interactions in...
Recently developed tunable MEMS Fabry- Perot interferometers based on Ag thin-film mirrors[1] have e...
Quantification of spectral data is of great interest in many fields of science, since it can provide...
Hyperspectral and multispectral imaging can record a single scene across a range of spectral bands. ...
We describe how spectral imaging, linear un-mixing and cluster computing have been combined to aid b...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
"NIR Hyperspectral Imaging" is a universal tool to measure and control chemical properties of object...
This paper reviews the activities at OKSI related to imaging spectroscopy presenting current and fut...
Optical systems for remote sensing commonly employ the principle of multi-/hyperspectral imaging, wh...