High-speed stimulated Raman spectral imaging for digital staining of mouse cancer tissues
| Autor: | Shuya Satoh, Hiroyuki Hashimoto, Yasuyuki Ozeki, Yoichi Otsuka, Masafumi Kyogaku, Kazuyoshi Itoh |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
Microscope Chemistry business.industry Tail of pancreas medicine.disease law.invention Spectral imaging Staining Imaging spectroscopy symbols.namesake Nuclear magnetic resonance medicine.anatomical_structure Optics law Pancreatic cancer medicine symbols Raman spectroscopy business Raman scattering |
| Zdroj: | Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2037494 |
| Popis: | We previously reported the combination of the high-speed stimulated Raman scattering (SRS) microscope and the multivariate analysis (principal component analysis and independent component analysis) for the tissue imaging. The results indicated the visualization of tissue components without chemical staining. Here, we report the multi-area observation of the tumor-grafted mouse tissue based on the same approach. The tumor-grafted mouse (balb/cAcJ nu/nu) was prepared by injection of human pancreatic carcinoma cell line (SUIT-2) into the tail of pancreas. Both of the pancreas cancer and the liver metastasis were harvested and fixed in formalin. Tissues were cryo-sectioned with a thickness of 100 μm and observed. The multispectral images (130 μm square, 500 x 500 pixels) of C-H vibration range from 2800 to 3100cm-1 (91 different Raman shift images) were obtained at a frame rate of 30 frames/sec. The data acquisition both of pancreas and liver were continued for the 48 adjacent areas for the observation both of cancerous and non-cancerous region, respectively. All the datasets were combined to analyze for multivariate analysis. We propose a protocol for drastic data reduction, which we found to give reproducible results and allows fast calculation of ICA. The independent component images indicated the different shapes and compositions between the cancerous region and the non-cancerous region. |
| Databáze: | OpenAIRE |
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