Stain-Free Histopathology with Stimulated Raman Scattering Microscopy

Ma, Liyang; Luo, Kuan; Liu, Zhijie; Ji, Minbiao

doi:10.1021/acs.analchem.4c02061

Anal. Chem.

2024

DOI: 10.1021/acs.analchem.4c02061

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Stain-Free Histopathology with Stimulated Raman Scattering Microscopy

Liyang Ma,

Kuan Luo,

Zhijie Liu

et al.

Abstract: Figure 3. Analytical methods for hyperspectral SRS data. (a) Maximum intensity projection, color-coded image based on phasor segmentation and zoomed-in phasor plots of hsSRS data on mammalian cells. 75 (Reproduced from Fu, D.; Xie, X. S. Reliable cell segmentation based on spectral phasor analysis of hyperspectral stimulated Raman scattering imaging data.

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Cited by 2 publications

References 148 publications

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Artificial intelligence in surgical pathology – Where do we stand, where do we go?

Sagiv,

Hadar,

Najjar

et al. 2024

European Journal of Surgical Oncology

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Artificial intelligence in surgical pathology – Where do we stand, where do we go?

Sagiv,

Hadar,

Najjar

et al. 2024

European Journal of Surgical Oncology

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Artificial Intelligence-Assisted Stimulated Raman Histology: New Frontiers in Vibrational Tissue Imaging

Krishnan Nambudiri,

Sujadevi,

Poornachandran

et al. 2024

Cancers

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Frozen section biopsy, introduced in the early 1900s, still remains the gold standard methodology for rapid histologic evaluations. Although a valuable tool, it is labor-, time-, and cost-intensive. Other challenges include visual and diagnostic variability, which may complicate interpretation and potentially compromise the quality of clinical decisions. Raman spectroscopy, with its high specificity and non-invasive nature, can be an effective tool for dependable and quick histopathology. The most promising modality in this context is stimulated Raman histology (SRH), a label-free, non-linear optical process which generates conventional H&E-like images in short time frames. SRH overcomes limitations of conventional Raman scattering by leveraging the qualities of stimulated Raman scattering (SRS), wherein the energy gets transferred from a high-power pump beam to a probe beam, resulting in high-energy, high-intensity scattering. SRH’s high resolution and non-requirement of preprocessing steps make it particularly suitable when it comes to intrasurgical histology. Combining SRH with artificial intelligence (AI) can lead to greater precision and less reliance on manual interpretation, potentially easing the burden of the overburdened global histopathology workforce. We review the recent applications and advances in SRH and how it is tapping into AI to evolve as a revolutionary tool for rapid histologic analysis.

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Stain-Free Histopathology with Stimulated Raman Scattering Microscopy

Cited by 2 publications

References 148 publications

Artificial intelligence in surgical pathology – Where do we stand, where do we go?

Artificial intelligence in surgical pathology – Where do we stand, where do we go?

Artificial Intelligence-Assisted Stimulated Raman Histology: New Frontiers in Vibrational Tissue Imaging

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