Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography
Raman micro-spectroscopy (RMS) is a non-invasive technique for imaging live cells in-vitro. However, obtaining quantitative molecular information from the Raman spectra is difficult because the intensity of a Raman band is proportional to the number of molecules in the sampled volume, which depends...
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Royal Society of Chemistry
2016
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| Online Access: | https://eprints.nottingham.ac.uk/39602/ |
| _version_ | 1848795873650147328 |
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| author | Boitor, Radu Sinjab, Faris Strohbuecker, Stephanie Sottile, Virginie Notingher, Ioan |
| author_facet | Boitor, Radu Sinjab, Faris Strohbuecker, Stephanie Sottile, Virginie Notingher, Ioan |
| author_sort | Boitor, Radu |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Raman micro-spectroscopy (RMS) is a non-invasive technique for imaging live cells in-vitro. However, obtaining quantitative molecular information from the Raman spectra is difficult because the intensity of a Raman band is proportional to the number of molecules in the sampled volume, which depends on the local molecular concentration and the thickness of the cell. In order to understand these effects, we combined RMS with atomic force microscopy (AFM), a technique that can measure accurately the thickness profile of the cells. Solution-based calibration models for RNA and albumin were developed to create quantitative maps of RNA and proteins in individual fixed cells. The maps were built by applying the solution-based calibration models, based on partial least square fitting (PLS), on raster-scan Raman maps, after accounting for the local cell height obtained from the AFM. We found that concentrations of RNA in the cytoplasm of mouse neuroprogenitor stem cells (NSCs) were as high as 256 mg/m, while proteins were distributed more uniformly and reaching concentrations as high as ~5012 mg/ml. The combined AFM-Raman datasets from fixed cells were also used to investigate potential improvements for normalization of Raman spectral maps. For all Raman map of fixed cells (n=10), we found a linear relationship between the scores corresponding to the first component (PC1) and cell height profile obtained by AFM. We used PC1 scores to reconstruct the relative height profiles of independent cells (n=10), and obtained correlation coefficients with AFM maps higher than 0.99. Using this normalization method, qualitative maps of RNA and protein were obtained concentrations for live NSCs. While this study demonstrates the potential of using AFM and RMS for measuring concentration maps for individual NSCs in-vitro, further studies are required to establish the robustness of the normalization method based on principal component analysis when comparing Raman spectra of cells with large morphological differences. |
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| format | Article |
| id | nottingham-39602 |
| institution | University of Nottingham Malaysia Campus |
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| last_indexed | 2025-11-14T19:39:00Z |
| publishDate | 2016 |
| publisher | Royal Society of Chemistry |
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| repository_type | Digital Repository |
| spelling | nottingham-396022020-05-04T17:48:08Z https://eprints.nottingham.ac.uk/39602/ Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography Boitor, Radu Sinjab, Faris Strohbuecker, Stephanie Sottile, Virginie Notingher, Ioan Raman micro-spectroscopy (RMS) is a non-invasive technique for imaging live cells in-vitro. However, obtaining quantitative molecular information from the Raman spectra is difficult because the intensity of a Raman band is proportional to the number of molecules in the sampled volume, which depends on the local molecular concentration and the thickness of the cell. In order to understand these effects, we combined RMS with atomic force microscopy (AFM), a technique that can measure accurately the thickness profile of the cells. Solution-based calibration models for RNA and albumin were developed to create quantitative maps of RNA and proteins in individual fixed cells. The maps were built by applying the solution-based calibration models, based on partial least square fitting (PLS), on raster-scan Raman maps, after accounting for the local cell height obtained from the AFM. We found that concentrations of RNA in the cytoplasm of mouse neuroprogenitor stem cells (NSCs) were as high as 256 mg/m, while proteins were distributed more uniformly and reaching concentrations as high as ~5012 mg/ml. The combined AFM-Raman datasets from fixed cells were also used to investigate potential improvements for normalization of Raman spectral maps. For all Raman map of fixed cells (n=10), we found a linear relationship between the scores corresponding to the first component (PC1) and cell height profile obtained by AFM. We used PC1 scores to reconstruct the relative height profiles of independent cells (n=10), and obtained correlation coefficients with AFM maps higher than 0.99. Using this normalization method, qualitative maps of RNA and protein were obtained concentrations for live NSCs. While this study demonstrates the potential of using AFM and RMS for measuring concentration maps for individual NSCs in-vitro, further studies are required to establish the robustness of the normalization method based on principal component analysis when comparing Raman spectra of cells with large morphological differences. Royal Society of Chemistry 2016-06-01 Article PeerReviewed Boitor, Radu, Sinjab, Faris, Strohbuecker, Stephanie, Sottile, Virginie and Notingher, Ioan (2016) Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography. Faraday Discussions, 187 . pp. 199-212. ISSN 1359-6640 http://pubs.rsc.org/en/Content/ArticleLanding/2016/FD/C5FD00172B#!divAbstract doi:10.1039/C5FD00172B doi:10.1039/C5FD00172B |
| spellingShingle | Boitor, Radu Sinjab, Faris Strohbuecker, Stephanie Sottile, Virginie Notingher, Ioan Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title | Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title_full | Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title_fullStr | Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title_full_unstemmed | Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title_short | Towards quantitative molecular mapping of cells by Raman microscopy: using AFM for decoupling molecular concentration and cell topography |
| title_sort | towards quantitative molecular mapping of cells by raman microscopy: using afm for decoupling molecular concentration and cell topography |
| url | https://eprints.nottingham.ac.uk/39602/ https://eprints.nottingham.ac.uk/39602/ https://eprints.nottingham.ac.uk/39602/ |