High-content stimulated Raman histology of human breast cancer

Hongli Ni; Chinmayee Prabhu Dessai; Haonan Lin; Wei Wang; Shaoxiong Chen; Yuhao Yuan; Xiaowei Ge; Jianpeng Ao; Nolan Vild; Ji-Xin Cheng

arXiv · 2309.11642

High-content stimulated Raman histology of human breast cancer

Hongli Ni·Chinmayee Prabhu Dessai·Haonan Lin·Wei Wang·Shaoxiong Chen·Yuhao Yuan·Xiaowei Ge·Jianpeng Ao·Nolan Vild·Ji-Xin Cheng

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Abstract

Histological examination is crucial for cancer diagnosis, including hematoxylin and eosin (H&E) staining for mapping morphology and immunohistochemistry (IHC) staining for revealing chemical information. Recently developed two-color stimulated Raman histology could bypass the complex tissue processing to mimic H&E-like morphology. Yet, the underlying chemical features are not revealed, compromising the effectiveness of prognostic stratification. Here, we present a high-content stimulated Raman histology (HC-SRH) platform that provides both morphological and chemical information for cancer diagnosis based on un-stained breast tissues. Through spectral unmixing in the C-H vibration window, HC-SRH can map unsaturated lipids, cellular protein, extracellular matrix, saturated lipid, and water in breast tissue. In this way, HC-SRH provides excellent contrast for various tissue components. Considering rapidness is important in clinical trials, we implemented spectral selective sampling to boost the speed of HC-SRH by one order. We also successfully demonstrated the HC-SRH in a clinical-compatible fiber laser-based SRS microscopy. With the widely rapid tuning capability of the advanced fiber laser, a clear chemical contrast of nucleic acid and solid-state ester is shown in the fingerprint result.

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Hongli Ni, Chinmayee Prabhu Dessai, Haonan Lin, Wei Wang, Shaoxiong Chen, Yuhao Yuan, Xiaowei Ge, Jianpeng Ao, Nolan Vild, Ji-Xin Cheng. 2023-09-20. High-content stimulated Raman histology of human breast cancer. https://arxiv.org/abs/2309.11642

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