Raman-spectroscopy based cell identification on a microhole array chip
dc.bibliographicCitation.firstPage | 204 | eng |
dc.bibliographicCitation.issue | 2 | eng |
dc.bibliographicCitation.volume | 5 | eng |
dc.contributor.author | Neugebauer, U. | |
dc.contributor.author | Kurz, C. | |
dc.contributor.author | Bocklitz, T. | |
dc.contributor.author | Berger, T. | |
dc.contributor.author | Velten, T. | |
dc.contributor.author | Clement, J.H. | |
dc.contributor.author | Krafft, C. | |
dc.contributor.author | Popp, J. | |
dc.date.accessioned | 2020-09-29T09:09:38Z | |
dc.date.available | 2020-09-29T09:09:38Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Circulating tumor cells (CTCs) from blood of cancer patients are valuable prognostic markers and enable monitoring responses to therapy. The extremely low number of CTCs makes their isolation and characterization a major technological challenge. For label-free cell identification a novel combination of Raman spectroscopy with a microhole array platform is described that is expected to support high-throughput and multiplex analyses. Raman spectra were registered from regularly arranged cells on the chip with low background noise from the silicon nitride chip membrane. A classification model was trained to distinguish leukocytes from myeloblasts (OCI-AML3) and breast cancer cells (MCF-7 and BT-20). The model was validated by Raman spectra of a mixed cell population. The high spectral quality, low destructivity and high classification accuracy suggests that this approach is promising for Raman activated cell sorting. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://doi.org/10.34657/4384 | |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/5755 | |
dc.language.iso | eng | eng |
dc.publisher | Basel : MDPI AG | eng |
dc.relation.doi | https://doi.org/10.3390/mi5020204 | |
dc.relation.ispartofseries | Micromachines 5 (2014), Nr. 2 | eng |
dc.relation.issn | 2072-666X | |
dc.rights.license | CC BY-NC-SA 3.0 Unported | eng |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/3.0/ | eng |
dc.subject | Cell identification | eng |
dc.subject | Circulating tumor cells | eng |
dc.subject | Microhole array chip | eng |
dc.subject | Raman spectroscopy | eng |
dc.subject | Bioassay | eng |
dc.subject | Cell culture | eng |
dc.subject | Cell proliferation | eng |
dc.subject | Patient treatment | eng |
dc.subject | Raman scattering | eng |
dc.subject | Raman spectroscopy | eng |
dc.subject | Silicon nitride | eng |
dc.subject | Breast cancer cells | eng |
dc.subject | Cell identification | eng |
dc.subject | Circulating tumor cells | eng |
dc.subject | Classification accuracy | eng |
dc.subject | Classification models | eng |
dc.subject | Isolation and characterization | eng |
dc.subject | Micro-hole arrays | eng |
dc.subject | Technological challenges | eng |
dc.subject | Biochips | eng |
dc.subject.ddc | 620 | eng |
dc.title | Raman-spectroscopy based cell identification on a microhole array chip | eng |
dc.type | article | eng |
dc.type | Text | eng |
dcterms.bibliographicCitation.journalTitle | Micromachines | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | IPHT | eng |
wgl.subject | Ingenieurwissenschaften | eng |
wgl.type | Zeitschriftenartikel | eng |
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