spectral multiplexing
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2020 ◽  
pp. 000370282094605
Author(s):  
Christopher Corden ◽  
Pavel Matousek ◽  
Claudia Conti ◽  
Ioan Notingher

Obtaining molecular information deeper within optically turbid samples is valuable in many applications. However, in many cases this is challenging, in particular when the sample elicits strong laser-induced fluorescence emission. Here, we investigated the use of time-gated and micro-spatially offset Raman spectroscopy (micro-SORS) based on spectral multiplexing detection to obtain sub-surface molecular analysis and imaging for both fluorescing and non-fluorescing samples. The multiplexed spectral detection achieved with a digital micromirror device (DMD) allowed fast acquisition of the time-gated signals to enable three-dimensional Raman mapping (raster scanning in the lateral x,y plane and using time-of-flight calibration for the axial z-direction). Sub-millimeter resolution molecular depth mapping was achieved with dwell times on the order of seconds per pixel. To suppress fluorescence backgrounds and enhance Raman bands, time-gated Raman spectroscopy was combined with micro-SORS to recover Raman signals of red pigments placed behind a layer of optically turbid material. Using a defocusing micro-SORS approach, both fluorescence and Raman signals from the surface layers were further suppressed, which enhanced the Raman signals from the deeper sublayers containing the pigment. These results demonstrate that time-gated Raman spectroscopy based on spectral multiplexed detection, and in combination with micro-SORS, is a powerful technique for sub-surface molecular analysis and imaging, which may find practical applications in medical imaging, cultural heritage, forensics, and industry.



2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Daniel Kage ◽  
Katrin Hoffmann ◽  
Galina Nifontova ◽  
Victor Krivenkov ◽  
Alyona Sukhanova ◽  
...  


Author(s):  
Maxim Karpov ◽  
Martin H. P. Pfeiffer ◽  
Anton Lukashchuk ◽  
Junqiu Liu ◽  
Tobias J. Kippenberg


Author(s):  
Chao Deng ◽  
Xuemei Hu ◽  
Jinli Suo ◽  
Yuanlong Zhang ◽  
Zhili Zhang ◽  
...  


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Olena S. Oliinyk ◽  
Anton A. Shemetov ◽  
Sergei Pletnev ◽  
Daria M. Shcherbakova ◽  
Vladislav V. Verkhusha


2018 ◽  
Vol 5 (1) ◽  
pp. 3 ◽  
Author(s):  
Yaniv Oiknine ◽  
Isaac August ◽  
Vladimir Farber ◽  
Daniel Gedalin ◽  
Adrian Stern

Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. This article provides a review of the Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) camera, its evolution, and its different applications. The CS-MUSI camera was designed within the CS framework and uses a liquid crystal (LC) phase retarder in order to modulate the spectral domain. The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods.



2018 ◽  
Vol 26 (19) ◽  
pp. 24723 ◽  
Author(s):  
Hongbo Zhu ◽  
Xingchen Lin ◽  
Yawei Zhang ◽  
Jianwei Zhang ◽  
Biao Wang ◽  
...  


2018 ◽  
Vol 26 (18) ◽  
pp. 24124 ◽  
Author(s):  
Zohreh Vafapour ◽  
Jacob B. Khurgin


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