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Raman Imaging for Biomedical Applications in Clinics   289


               (a)                  (b)               (c)



















               (d)                  (e)               (f)
   FIGURE 9.14  Raman mapping of pristine mouse brain tissue with metastases of
   malignant melanomas: (d) 37 × 93 map of front side and (e) 61 × 59 map of
   reverse side of the fi rst specimen; (f ) 88 × 26 map of the second specimen.
   H&E-stained tissue sections (a), (b), and (c) correspond to Raman maps (d), (e),
   and (f ), respectively. Insets in (a) and (c) at higher magnifi cation indicate the
   presence of pigmented tumor cells. Colors represent class assignments by
   cluster analysis-tissue of high (orange), medium high (yellow), medium low (cyan),
   and low (blue) lipid-to-protein ratios, and high (gray) and medium (black)
   concentrations of tumor cells. Bar = 1 mm. (Figure provided by C. Krafft and
   adapted from Ref. 68.)

        microscopic level as a function of anatomical location and bone sur-
        face metabolic activity. 62,63
            In studies of bone diseases, Raman imaging has proven to be a very
        informative research tool. Much Raman imaging technique and analysis
        development was realized in the group of Michael Morris. A perfect
        example of their work is a study of Tarnowski et al.  on the earliest min-
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        eral and matrix changes in force-induced craniosynostosis (premature
        fusion of the skull bones at the sutures). Using a Raman line imaging
        system with a 785-nm diode laser (with 50 mW on the sample) they took
        Raman images of (mechanically) loaded and unloaded sutures and stud-
        ied the changes over time. All Raman images were acquired with 2.6 ×
        2.6 μm spatial resolution and ranged in a rectangular field of view from
        180 × 210 to 180 × 325 μm. A factor analysis technique, using also the
        spatial information in the images, helped identify the major components
        in the spectra such as the bone matrix and the mineral component. The
        results are shown in Fig. 9.15. It was the first work on studying musculo-
        skeletal disease by Raman imaging, and they found that osteogenic
        fronts subjected to uniaxial compression had a decreased relative min-
        eral content compared with unloaded osteogenic fronts, presumably
        because of new and incomplete mineral deposition at the osteogenic
        front across the suture as the suture was undergoing fusion.
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