Holographic coherent anti-Stokes Raman scattering bio-imaging

Shi, Kebin; Edwards, Perry S.; Hu, Jing; Xu, Qian; Wang, Yanming; Liu, Zhiwen

doi:10.1364/boe.3.001744

Cited by 17 publications

(7 citation statements)

References 12 publications

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“…Finally, the full integration with other techniques that allow a correlation between the molecular architecture features and the biochemical ones is hoped. In this respect, Raman spectroscopy, both spontaneous, for a full biochemical characterization [190], and stimulated, for non-scanning chemically selective 3D bio-imaging [195], seems the most promising approach to investigate.…”

Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Roadmap on holography

Sheridan¹,

Kostuk²,

Gil³

et al. 2020

J. Opt.

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Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Roadmap on holography

Sheridan¹,

Kostuk²,

Gil³

et al. 2020

J. Opt.

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“…Combining CARS and interferometric detection also led to holographic CARS imaging. 147,148 Recent reports also demonstrated the capability of detecting backscattered CARS signals with OCT con¯gurations. 149 By employing broadband sources, spectral windows have been observed with CARS, 150 leading to enhanced vibrational spectroscopy over a limited spectral band in cells 151 and tissues.…”

Section: Nonlinear Spectroscopy Multimodal Implementationsmentioning

confidence: 99%

Multimodal label-free microscopy

Pavillon

Fujita

Smith

2014

J. Innov. Opt. Health Sci.

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This paper reviews the di®erent multimodal applications based on a large extent of label-free imaging modalities, ranging from linear to nonlinear optics, while also including spectroscopic measurements. We put speci¯c emphasis on multimodal measurements going across the usual boundaries between imaging modalities, whereas most multimodal platforms combine techniques based on similar light interactions or similar hardware implementations. In this review, we limit the scope to focus on applications for biology such as live cells or tissues, since by their nature of being alive or fragile, we are often not free to take liberties with the image acquisition times and are forced to gather the maximum amount of information possible at one time. For such samples, imaging by a given label-free method usually presents a challenge in obtaining su±cient optical signal or is limited in terms of the types of observable targets. Multimodal imaging is then particularly attractive for these samples in order to maximize the amount of measured information. While multimodal imaging is always useful in the sense of acquiring additional information from additional modes, at times it is possible to attain information that could not be discovered using any single mode alone, which is the essence of the progress that is possible using a multimodal approach.

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“…Bio-imaging is significant for studying cellular processes [3] and visualizing living cells [4,5]. Recent developments in bio-imaging include surface plasmon resonance (SPR)-based high-sensitive imaging, autofluorescence microscopy [6][7][8], near-infrared reduced illuminance autofluorescence imaging (NIR-RAFI) [9], Raman microscopy [10], surface-enhanced Raman scattering (SERS) [11,12] and coherent anti-Stokes Raman scattering (CARS) microscopy [13][14][15] as label-free imaging techniques. Over the last few years, a possible link between biological molecules and bio-imaging has led to the development of an increasing number of biosensors, as they can be used to monitor living cells without staining [16].…”

Section: Introductionmentioning

confidence: 99%

Autofluorescence Imaging of Living Yeast Cells with Deep-Ultraviolet Surface Plasmon Resonance

et al. 2022

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Autofluorescence in living cells on aluminum thin film was excited with deep-ultraviolet surface plasmon resonance (deep-UV SPR). Deep-UV SPR under aqueous medium was excited with Kretschmann configuration by using a sapphire prism. Deep-UV SPR is one of the promising techniques for high-sensitive autofluorescence imaging of living cells without staining. Label-free observation is significant for the structural analysis of living cells. We demonstrated the high-sensitive autofluorescence imaging of living yeast cells with deep-UV SPR. We applied a high refractive index prism, such as sapphire, which is suitable for the observation of specimens in aqueous medium, to excite deep-UV SPR. Although typical autofluorescence from living cells is buried in background noise, deep-UV SPR enhances the autofluorescence signal. The deep-UV SPR excitation of an aluminum thin film through a sapphire prism was investigated theoretically and experimentally. It showed that the fluorescence intensities are increased 2.8-fold. Deep-UV SPR enhanced the autofluorescence of cell structures, and yeast cells were found to be very sensitive. As a result, for water-immersed specimens, the sapphire-prism-based Kretschmann configuration excited SPR in deep-UV. Findings from this study suggest that deep-UV SPR can be considered an effective technique for attaining high-sensitivity observation of biological samples.

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Holographic coherent anti-Stokes Raman scattering bio-imaging

Cited by 17 publications

References 12 publications

Roadmap on holography

Roadmap on holography

Multimodal label-free microscopy

Autofluorescence Imaging of Living Yeast Cells with Deep-Ultraviolet Surface Plasmon Resonance

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