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Nonscanning large-area Raman imaging for ex vivo/in vivo skin cancer discrimination.
Schmälzlin, Elmar; Moralejo, Benito; Gersonde, Ingo; Schleusener, Johannes; Darvin, Maxim E; Thiede, Gisela; Roth, Martin M.
Affiliation
  • Schmälzlin E; innoFSPEC Potsdam, Leibniz Institute for Astrophysics Potsdam, Potsdam, Germany.
  • Moralejo B; innoFSPEC Potsdam, Leibniz Institute for Astrophysics Potsdam, Potsdam, Germany.
  • Gersonde I; innoFSPEC Potsdam, Leibniz Institute for Astrophysics Potsdam, Potsdam, Germany.
  • Schleusener J; innoFSPEC Potsdam, University of Potsdam-Physical Chemistry, Potsdam, Germany.
  • Darvin ME; Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Be, Germany.
  • Thiede G; Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Be, Germany.
  • Roth MM; Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Be, Germany.
J Biomed Opt ; 23(10): 1-11, 2018 10.
Article in En | MEDLINE | ID: mdl-30288965
ABSTRACT
Imaging Raman spectroscopy can be used to identify cancerous tissue. Traditionally, a step-by-step scanning of the sample is applied to generate a Raman image, which, however, is too slow for routine examination of patients. By transferring the technique of integral field spectroscopy (IFS) from astronomy to Raman imaging, it becomes possible to record entire Raman images quickly within a single exposure, without the need for a tedious scanning procedure. An IFS-based Raman imaging setup is presented, which is capable of measuring skin ex vivo or in vivo. It is demonstrated how Raman images of healthy and cancerous skin biopsies were recorded and analyzed.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin / Skin Neoplasms / Spectrum Analysis, Raman / Image Interpretation, Computer-Assisted / Nevus Type of study: Observational_studies / Prognostic_studies Limits: Aged / Aged80 / Animals / Humans Language: En Journal: J Biomed Opt Journal subject: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Year: 2018 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin / Skin Neoplasms / Spectrum Analysis, Raman / Image Interpretation, Computer-Assisted / Nevus Type of study: Observational_studies / Prognostic_studies Limits: Aged / Aged80 / Animals / Humans Language: En Journal: J Biomed Opt Journal subject: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Year: 2018 Document type: Article Affiliation country: Germany