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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-124569
- Non-destructive, non-contact and label-free technologies to monitor cell and tissue cultures are needed in the field of biomedical research.1-5 However, currently available routine methods require processing steps and alter sample integrity. Raman spectroscopy is a fast method that enables the measurement of biological samples without the need for further processing steps. This laser-based technology detects the inelastic scattering of monochromatic light.6 As every chemical vibration is assigned to a specific Raman band (wavenumber in cm-1),Non-destructive, non-contact and label-free technologies to monitor cell and tissue cultures are needed in the field of biomedical research.1-5 However, currently available routine methods require processing steps and alter sample integrity. Raman spectroscopy is a fast method that enables the measurement of biological samples without the need for further processing steps. This laser-based technology detects the inelastic scattering of monochromatic light.6 As every chemical vibration is assigned to a specific Raman band (wavenumber in cm-1), each biological sample features a typical spectral pattern due to their inherent biochemical composition.7-9 Within Raman spectra, the peak intensities correlate with the amount of the present molecular bonds.1 Similarities and differences of the spectral data sets can be detected by employing a multivariate analysis (e.g. principal component analysis (PCA)).10 Here, we perform Raman spectroscopy of living cells and native tissues. Cells are either seeded on glass bottom dishes or kept in suspension under normal cell culture conditions (37 °C, 5% CO2) before measurement. Native tissues are dissected and stored in phosphate buffered saline (PBS) at 4 °C prior measurements. Depending on our experimental set up, we then either focused on the cell nucleus or extracellular matrix (ECM) proteins such as elastin and collagen. For all studies, a minimum of 30 cells or 30 random points of interest within the ECM are measured. Data processing steps included background subtraction and normalization.…
Autor(en): | Miriam Votteler, Daniel A. Carvajal Berrio, Marieke Pudlas, Heike Walles, Katja Schenke-Layland |
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URN: | urn:nbn:de:bvb:20-opus-124569 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Medizinische Fakultät / Lehrstuhl für Tissue Engineering und Regenerative Medizin |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | Journal of Visual Expression |
Erscheinungsjahr: | 2012 |
Band / Jahrgang: | 63 |
Heft / Ausgabe: | e3977 |
Originalveröffentlichung / Quelle: | Journal of Visual Expression (63), e3977, doi:10.3791/3977 (2012) |
DOI: | https://doi.org/10.3791/3977 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 5 Naturwissenschaften und Mathematik / 53 Physik / 535 Licht, Infrarot- und Ultraviolettphänomene |
5 Naturwissenschaften und Mathematik / 54 Chemie / 543 Analytische Chemie | |
Freie Schlagwort(e): | bioengineering; extracellular matrix; label-free analysis; living cells; raman spectroscopy; tissue engineering |
Datum der Freischaltung: | 20.01.2016 |
Lizenz (Deutsch): | CC BY-NC-ND: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell, Keine Bearbeitung |