Fingerprint Spectroscopic SRS Imaging of Single Living Cells and Whole Brain by Ultrafast Tuning and Spatial-Spectral Learning

@article{Lin2020FingerprintSS,
  title={Fingerprint Spectroscopic SRS Imaging of Single Living Cells and Whole Brain by Ultrafast Tuning and Spatial-Spectral Learning},
  author={Haonan Lin and Hyeon Jeong Lee and Nathan Tague and Jean-Baptiste Lugagne and Cheng Zong and Fengyuan Deng and Wilson Wong and Mary J. Dunlop and Ji‐Xin Cheng},
  journal={arXiv: Medical Physics},
  year={2020}
}
Label-free vibrational imaging by stimulated Raman scattering (SRS) provides unprecedented insight into real-time chemical distributions in living systems. Specifically, SRS in the fingerprint region can resolve multiple chemicals in a complex bio-environment using specific and well-separated Raman signatures. Yet, fingerprint SRS imaging with microsecond spectral acquisition has not been achieved due to the small fingerprint Raman cross-sections and the lack of ultrafast acquisition scheme… 

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References

SHOWING 1-10 OF 45 REFERENCES

Microsecond Scale Vibrational Spectroscopic Imaging by Multiplex Stimulated Raman Scattering Microscopy.

Microsecond scale vibrational spectroscopic imaging by lock-in free parallel detection of spectrally dispersed stimulated Raman scattering signal is reported, which opens new opportunities for compositional analysis of cellular compartment in a microscope setting and high-throughput spectral profiling of single cells in a flow cytometer setting.

Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion

A regularized non-negative matrix factorization algorithm is developed to decompose the sub-sampled image stack into spectral signatures and concentration maps that enables an acquisition speed of 0.8 s per image stack, which allows real-time metabolic imaging of living fungi suspended in a growth medium while effectively maintaining the spatial and spectral resolutions.

Video-Rate Molecular Imaging in Vivo with Stimulated Raman Scattering

In vivo SRS imaging in living animals and humans is enabled by substantially enhancing the collection of the backscattered signal and increasing the imaging speed by three orders of magnitude to video rate, which allows label-free in vivo imaging of water, lipid, and protein in skin and mapping of penetration pathways of topically applied drugs in mice and humans.

Broadband hyperspectral stimulated Raman scattering microscopy with a parabolic fiber amplifier source.

This work presents a novel approach for broadband hsSRS microscopy based on parabolic fiber amplification to provide linearly chirped broadened Stokes pulses and demonstrated broadband hSRS imaging of the entire Raman fingerprint region for resolving the distribution of major biomolecules in fixed cells.

Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy

Three-dimensional multiphoton vibrational imaging technique based on stimulated Raman scattering (SRS) is reported, which offers background-free and readily interpretable chemical contrast in biomedical imaging and shows a variety of biomedical applications.

Quantitative vibrational imaging by hyperspectral stimulated Raman scattering microscopy and multivariate curve resolution analysis.

The results show the great capability and potential of hyperspectral SRL microscopy for quantitative imaging of complicated biomolecule mixtures through resolving overlapped Raman bands.

Denoising of stimulated Raman scattering microscopy images via deep learning.

This work presents the use of a deep learning algorithm to significantly improve the SNR of SRS images, based on a U-Net convolutional neural network and significantly outperforms existing denoising algorithms.

Label-Free Vibrational Spectroscopic Imaging of Neuronal Membrane Potential.

A vibrational spectroscopic signature of neuronal membrane potentials identified through hyperspectral stimulated Raman scattering (SRS) imaging of patched primary neurons is reported and is interpreted as ion interactions on the CH3 Fermi resonance peak in proteins.

Stimulated Raman Spectroscopic Imaging by Microsecond Delay-Line Tuning

We report microsecond-scale acquisition of simulated Raman spectra by resonant delay-line tuning. Our scheme improved the spectral acquisition speed by 100 times compared to previous works by