Download Biomedical Optical Imaging by James G. Fujimoto, Daniel Farkas PDF

By James G. Fujimoto, Daniel Farkas

ISBN-10: 0195150449

ISBN-13: 9780195150445

Biomedical optical imaging is a speedily rising learn quarter with common basic learn and scientific functions. This ebook offers an outline of biomedical optical imaging with contributions from top foreign examine teams who've pioneered a lot of those ideas and applications.

a different study box spanning the microscopic to the macroscopic, biomedical optical imaging permits either structural and sensible imaging. strategies resembling confocal and multiphoton microscopy supply mobile point solution imaging in organic structures. the mixing of this expertise with exogenous chromophores can selectively improve distinction for molecular objectives in addition to provide useful details on procedures comparable to nerve transduction.

Novel ideas combine microscopy with cutting-edge optics expertise, and those contain spectral imaging, photon fluorescence correlation, nonlinear nanoscopy; optical coherence tomography ideas enable practical, dynamic, nanoscale, and cross-sectional visualization. relocating to the macroscopic scale, spectroscopic evaluate and imaging tools akin to fluorescence and lightweight scattering offers diagnostics of tissue pathology together with neoplastic adjustments. concepts utilizing gentle diffusion and photon migration are a method to discover methods which take place deep inside of organic tissues and organs. the mixing of those concepts with exogenous probes allows molecular particular sensitivity.

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2000). Orientational imaging of single molecules by annular illumination. Phys. Rev. , 85, 4482. Sommerfeld A. (1954). Optics. Academic Press, London, UK. Swartzlander GA Jr. (2001). Peering into darkness with a vortex spatial filter. Opt. , 26, 497. Tidwell SC, Ford DH, and Kimura WD. (1990). Generating radially polarized beams interferometrically. Appl. , 29, 2234. Tidwell SC, Kim GH, and Kimura WD. (1993). Efficient radially polarized laser-beam generation with a double interferometer. Appl.

ACKNOWLEDGMENTS The contributions, in alphabetical order, of Martin Booth, Rimas Juškaitis, Farnaz Massoumian, and Mark Neil were invaluable in the development of this work. REFERENCES Booth MJ, Neil MAA, and Wilson T. (1988). Aberration correction for confocal imaging in refractive-index-mismatched media. J. , 192, 90. Booth MJ, Neil MAA, Juskaitis R, and Wilson T. (2002a). Adaptive aberration correction in a confocal microscope. Proc. Natl. Acad. Sci USA, 99, 5788. Booth MJ, Neil MAA, and Wilson T.

Among these, understanding the concept of three views of the spectral data in terms of a data representation scheme or representation space is fundamentally important for computational processing of spectral data. Image Space Image space is a natural concept in the sense that the human vision system can be considered a wide “channel” into the human brain. It displays the data samples in relation to one another spatially and provides a “picture” of the scene for the human viewer. However, this space cannot represent the information in the spectral data cube unless appropriate image visualization methods are used—in a mathematical sense, mapping the spectral image cube onto image space through various visualization schemes (an explanation of this follows later in the chapter).

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Biomedical Optical Imaging by James G. Fujimoto, Daniel Farkas


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