Page 7 - Vibrational Spectroscopic Imaging for Biomedical Applications
P. 7

Contents





              Contributors   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   xiii
              Preface   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   xv
           1   Toward Automated Breast Histopathology Using
              Mid-IR Spectroscopic Imaging  F. Nell Pounder and
              R. Bhargava   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .    1
                1.1  Introduction   . . . . . . . . . . . . . . . . . . . . . . . . . . . .    2
                      1.1.1  FT-IR Imaging   . . . . . . . . . . . . . . . . . . .    4
                      1.1.2  FT-IR Spectroscopic Characterization
                            of Cells and Tissues   . . . . . . . . . . . . . . .    5
                      1.1.3  FT-IR Imaging for Pathology   . . . . . . .    6
                      1.1.4  High-Throughput Sampling   . . . . . . .    8

                     1.1.5  Modified Bayesian Classifi cation and
                            Automated Tissue Histopathology   . . .     8
                1.2  Materials and Methods   . . . . . . . . . . . . . . . . . . .    10
                      1.2.1  Models for Spectral Recognition and
                            Analysis of Class Data   . . . . . . . . . . . .    11
                      1.2.2  Automated Metric Selection and

                           Classification Protocol Optimization   . . .     12
                      1.2.3  Spectral Metrics and Biochemical
                            Basis   . . . . . . . . . . . . . . . . . . . . . . . . . . . .    14
                      1.2.4  Validation and Dependence on
                            Experimental Parameters   . . . . . . . . . .    15
                      1.2.5  Application for Cancer
                            Pixel Segmentation   . . . . . . . . . . . . . . .    18
                      1.2.6  Application for Patient Cancer
                            Segmentation   . . . . . . . . . . . . . . . . . . . .    21
                1.3  Conclusions   . . . . . . . . . . . . . . . . . . . . . . . . . . . .    25
              References   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .    26
           2   Synchrotron-Based FTIR Spectromicroscopy and
              Imaging of Single Algal Cells and Cartilage
              Michael J. Nasse, Eric Mattson, Claudia Gohr, Ann
              Rosenthal, Simona Ratti, Mario Giordano, and
              Carol J. Hirschmugl   . . . . . . . . . . . . . . . . . . . . . . . . . . . .    29
                2.1  Introduction   . . . . . . . . . . . . . . . . . . . . . . . . . . . .    30
                2.2  IR Environmental Imaging   . . . . . . . . . . . . . . . .    31
                      2.2.1  Beamline Design and
                            Implementation   . . . . . . . . . . . . . . . . .    32
                      2.2.2  Initial Measurements with IRENI   . . .    35

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