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Abstract
The ability to image tissues in three dimensions (3D) with label-free molecular contrast at the mesoscale would be a valuable capability in biology and biomedicine. Here, we introduce Raman spectral projection tomography (RSPT) for volumetric molecular imaging with optical sub-millimeter spatial resolution. We have developed a RSPT imaging instrument capable of providing 3D molecular contrast in transparent and semi-transparent samples. We also created a computational pipeline for multivariate reconstruction to extract label-free spatial molecular information from Raman projection data. Using these tools, we demonstrate imaging and visualization of phantoms of various complex shapes with label-free molecular contrast. Finally, we apply RSPT as a tool for imaging of molecular gradients and extracellular matrix heterogeneities in fixed and living tissue-engineered constructs and explanted native cartilage tissues. We show that there exists a favorable balance wherein employing Raman spectroscopy, with its advantages in live cell imaging and label-free molecular contrast, outweighs the reduction in imaging resolution and blurring caused by diffuse photon propagation. Thus, RSPT imaging opens new possibilities for label-free molecular monitoring of tissues.
Original language | English |
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Article number | 7717 |
Journal | Nature Communications |
Volume | 15 |
Issue number | 1 |
Number of pages | 11 |
ISSN | 2041-1723 |
DOIs | |
Publication status | Published - Dec 2024 |
Keywords
- Animals
- Cartilage/diagnostic imaging
- Extracellular Matrix/metabolism
- Humans
- Imaging, Three-Dimensional/methods
- Mice
- Molecular Imaging/methods
- Phantoms, Imaging
- Spectrum Analysis, Raman/methods
- Tissue Engineering/methods
- Tomography/methods
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- 1 Finished
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CRACK-IT RaTS phase 2: Early Non-invasive Molecular Diagnosis of rheumatoid arthritis using Raman tomography
Hedegaard, M. A. B. (Head coordinator), Bergholt, M. S. (Head coordinator) & Walther, A. R. (In charge of work packages)
01/03/2020 → 31/08/2023
Project: Research