Fast wide-field Raman spectroscopic imaging based on simultaneous multi-channel image acquisition and Wiener estimation

Wei, Dong; Chen, Shuo; Ong, Yi Hong; Perlaki, Clint Michael; Liu, Quan

doi:10.1364/ol.41.002783

Cited by 19 publications

(14 citation statements)

References 14 publications

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“…The total estimated scan time for tissue samples with areas of 1 × 1 cm 2 would be around 2.7 hours (100 × 100 μm 2 superpixel, 1 second per step). Future developments could combine this approach with other speed up approaches (eg, line‐scanning confocal , multifocal and Wiener estimation ) aimed to further reduce the acquisition time for intraoperative use (eg, <1 hour). When compared to gold standard diagnostics such as histopathology, the sensitivity of 82% is still not acceptable for cancer detection.…”

Section: Resultsmentioning

confidence: 99%

“…Several studies have accelerated spontaneous Raman measurements using sparse sampling techniques (sampling at 10‐20 μm increments ) collecting a full spectrum at each pixel at the expense of limited coverage of the tissue surface area (2% or less). Other methods that have been developed include line‐scanning confocal , 2D multifocal arrays and Wiener estimation , with speed up factors reported between ×10 and ×100). One attractive approach is superpixel acquisition whereby a spectrum is averaged over a larger pixel (aka a superpixel of ~25 × 25 μm 2 ‐100 × 100 μm 2 ) on the sample surface while integrating only once on the detector.…”

Section: Introductionmentioning

confidence: 99%

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Superpixel Raman spectroscopy for rapid skin cancer margin assessment

Feng

Fox

Reichenberg

et al. 2020

Journal of Biophotonics

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Spontaneous Raman micro-spectroscopyhas been demonstrated great potential in delineating tumor margins; however, it is limited by slow acquisition speed. We describe a superpixel acquisition approach that can expedite acquisition between~×100 and ×10 000, as compared to point-by-point scanning by trading off spatial resolution. We present the first demonstration of superpixel acquisition on rapid discrimination of basal cell carcinoma tumor from eight patients undergoing Mohs micrographic surgery. Results have been demonstrated high discriminant power for tumor vs normal skin based on the biochemical differences between nucleus, collagen, keratin and ceramide. We further perform raster-scanned superpixel Raman imaging on positive and negative margin samples. Our results indicate superpixel acquisition can facilitate the use of Raman microspectroscopy as a rapid and specific tool for tumor margin assessment. K E Y W O R D Sbasal cell carcinoma, Raman imaging, Raman spectroscopy, rapid acquisition, skin cancer, tumor margin

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Superpixel Raman spectroscopy for rapid skin cancer margin assessment

Feng

Fox

Reichenberg

et al. 2020

Journal of Biophotonics

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“…Several strategies have been proposed for increasing the speed of Raman hyperspectral imaging, including multifoci excitation, line scanning, and wide-field Raman imaging. 10,[22][23][24] One of the most direct approaches to such sampling is simply to create multiple parallelized laser excitation points for readout. Many approaches to this have been demonstrated, from using fixed optical elements such as lens arrays, 22,25,26 to scanning galvo mirrors, [27][28][29] and LC-SLMs.…”

Section: Spatially Controlled Spontaneous Raman Excitationmentioning

confidence: 99%

Applications of Spatial Light Modulators in Raman Spectroscopy

2019

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Advances in consumer display screen technologies have historically been adapted by researchers across the fields of optics as they can be used as electronically controlled spatial light modulators (SLMs) for a variety of uses. The performance characteristics of such SLM devices based on liquid crystal (LC) and digital micromirror device (DMD) technologies, in particular, has developed to the point where they are compatible with increasingly sensitive instrumental applications, for example, Raman spectroscopy. Spatial light modulators provide additional flexibility, from modulation of the laser excitation (including multiple laser foci patterns), manipulation of microscopic samples (optical trapping), or selection of sampling volume (adaptive optics or spatially offset Raman spectroscopy), to modulation in the spectral domain for high-resolution spectral filtering or multiplexed/compressive fast detection. Here, we introduce the benefits of different SLM devices as a part of Raman instrumentation and provide a variety of recent example applications which have benefited from their incorporation into a Raman system.

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“…Several techniques have been proposed and demonstrated for achieving fast Raman spectral mapping, such as line‐ or slit‐scanning and wide‐field Raman imaging . Compared with confocal single‐beam scanning Raman imaging, these power‐sharing Raman imaging techniques effectively shorten the mapping time by measuring multiple sample locations simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Optical sectioning in multifoci Raman hyperspectral imaging

Liao

Sinjab

Elsheikha

et al. 2018

J Raman Spectroscopy

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In this study, we compared the depth discrimination and speed performance of multifoci Raman hyperspectral imaging with the reference standard of a single laser point confocal Raman mapping. A liquid crystal spatial light modulator was employed for the generation of multifoci laser beams, and a digital micromirror device was used as a software-configurable reflective pinhole array. The patterns of the laser foci and pinhole array can be rapidly changed without requiring any hardware alterations. Confocal patterns with different distance-to-size ratios were tested and compared. After optimization of the laser-foci pattern, we demonstrated the feasibility of multifoci Raman hyperspectral microscopy for recording depth-resolved molecular maps of biological cells (Acanthamoeba castellanii trophozoites). Micrometric depth discrimination and short acquisition times (20 min for single plane confocal image) were achieved. KEYWORDSconfocal Raman imaging, cross-talk, multi-beam, optical sectioning, single cell imaging | INTRODUCTIONRaman microspectroscopy (RMS) is a powerful technique for highly specific molecular imaging of samples in three dimensions (3D).[1] RMS instruments typically utilize a single laser beam to excite Raman scattering at a sample, which is analyzed by a spectrometer, with hyperspectral images formed by raster-scanning the laser spot and obtaining a Raman spectrum at each point. A pinhole is often placed at the spectrometer entrance to ensure confocal measurement configuration for improved depth discrimination. Although RMS allows sensitive and chemically specific hyperspectral imaging, acquisition times for measurements in 3D are often lengthy, due to the weak spontaneous Raman scattering cross section of many materials. The addition of a pinhole also typically comes at the cost of optical throughput for RMS detection, further increasing the acquisition times. Several techniques have been proposed and demonstrated for achieving fast Raman spectral mapping, such as line-or slit-scanning [2,3] and wide-field Raman imaging. [4,5] Compared with confocal single-beam scanning Raman imaging, these power-sharing Raman imaging techniques effectively shorten the mapping time by measuring multiple sample locations simultaneously. However, both line-scanning and wide-field techniques tend to decrease the depth discrimination because of decreased or lack of confocality. Multifoci excitation is a promising strategy to improve Raman imaging speed while maintaining good depth discrimination. [6][7][8][9][10][11][12] Raman spectra from these ------------------------------------------This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Fast wide-field Raman spectroscopic imaging based on simultaneous multi-channel image acquisition and Wiener estimation

Cited by 19 publications

References 14 publications

Superpixel Raman spectroscopy for rapid skin cancer margin assessment

Superpixel Raman spectroscopy for rapid skin cancer margin assessment

Applications of Spatial Light Modulators in Raman Spectroscopy

Optical sectioning in multifoci Raman hyperspectral imaging

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