Rapid spectral analysis for spectral imaging

Rapid spectral analysis for spectral imaging

Spectral imaging requires rapid analysis of spectra associated with each pixel. A rapid algorithm has been developed that uses iterative matrix inversions to solve for the absorption spectra of a tissue using a lookup table for photon pathlength based on numerical simulations. The algorithm uses tissue water content as an internal standard to specify the strength of optical scattering. An exper...

Epithelial and stromal spectral imaging for rapid surgical margin assessment

Differential diagnosis of pancreatic cystic masses with the quantitative analysis of spectral CT imaging: Initial results

Background: To retrospectively evaluate whether quantitative information derived from spectral imaging can improve the differential diagnosis of pancreatic cystic masses including pancreatic solid pseudopapillary epithelial neoplasms (SPENs), mucin- producing cysts and pseudocysts. Materials and Methods: From June 2015 to October 2017, 56 patients (22 pseudocysts, 18 mucin-producing cysts and 1...

Rapid spectral-domain localization.

We present a method to dynamically image structures at nanometer spatial resolution with far-field instruments. We propose the use of engineered nanoprobes with distinguishable spectral responses and the measurement of coherent scattering, rather than fluorescence. Approaches such as PALM/STORM have relied on the rarity of emission events in time to distinguish signals from distinct probes. By ...

Spectral multiplexing method for digital snapshot spectral imaging.

We propose a spectral imaging method for piecewise "macropixel" objects, which allows a regular digital camera to be converted into a digital snapshot spectral imager by equipping the camera with only a disperser and a demultiplexing algorithm. The method exploits a "multiplexed spectrum" intensity pattern, i.e., the superposition of spectra from adjacent different image points, formed on the i...