3D chemical imaging of the brain using quantitative IR spectro-microscopy
| العنوان: | 3D chemical imaging of the brain using quantitative IR spectro-microscopy |
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| المؤلفون: | Abiodun Ogunleke, Benoit Recur, Maylis Delugin, Yeukuang Hwu, Sophie Javerzat, Hugo Balacey, Cyril Petibois, Hsiang-Hsin Chen |
| المصدر: | Chemical Science |
| بيانات النشر: | Royal Society of Chemistry (RSC), 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 0301 basic medicine, Chemical imaging, Analytical technique, Analytical chemistry, General Chemistry, Iterative reconstruction, Biology, medicine.disease, Chemistry, 03 medical and health sciences, 030104 developmental biology, In vivo, Glioma, Microscopy, medicine, Tomography, Quantitative analysis (chemistry), Biomedical engineering |
| الوصف: | Here, we introduce a unique high-throughput infrared (IR) microscopy method that combines automated image correction and subsequent spectral data analysis for 3D-IR image reconstruction. Three-dimensional (3D) histology is the next frontier for modern anatomo-pathology. Characterizing abnormal parameters in a tissue is essential to understand the rationale of pathology development. However, there is no analytical technique, in vivo or histological, that is able to discover such abnormal features and provide a 3D distribution at microscopic resolution. Here, we introduce a unique high-throughput infrared (IR) microscopy method that combines automated image correction and subsequent spectral data analysis for 3D-IR image reconstruction. We performed spectral analysis of a complete organ for a small animal model, a mouse brain with an implanted glioma tumor. The 3D-IR image is reconstructed from 370 consecutive tissue sections and corrected using the X-ray tomogram of the organ for an accurate quantitative analysis of the chemical content. A 3D matrix of 89 × 106 IR spectra is generated, allowing us to separate the tumor mass from healthy brain tissues based on various anatomical, chemical, and metabolic parameters. We demonstrate that quantitative metabolic parameters can be extracted from the IR spectra for the characterization of the brain vs. tumor metabolism (assessing the Warburg effect in tumors). Our method can be further exploited by searching for the whole spectral profile, discriminating tumor vs. healthy tissue in a non-supervised manner, which we call ‘spectromics’. |
| تدمد: | 2041-6539 2041-6520 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6169eddaf79dfb0dde6d84351954bde https://doi.org/10.1039/c7sc03306k |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....a6169eddaf79dfb0dde6d84351954bde |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20416539 20416520 |
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