2009
DOI: 10.1201/9781420070736
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Second-order Nonlinear Optical Characterization Techniques

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Cited by 221 publications
(297 citation statements)
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“…Consequently, SHG is forbidden in centrosymmetric materials and can only appear in the regions of broken symmetry such as surfaces, interfaces, chiral ordering, etc [28]. In general, the number of independent components of the third rank tensor This last component is often referred to as the "chiral" one, since it is characteristic of the absence of mirror symmetry that is associated with chiral systems.…”
Section: Theorymentioning
confidence: 99%
“…Consequently, SHG is forbidden in centrosymmetric materials and can only appear in the regions of broken symmetry such as surfaces, interfaces, chiral ordering, etc [28]. In general, the number of independent components of the third rank tensor This last component is often referred to as the "chiral" one, since it is characteristic of the absence of mirror symmetry that is associated with chiral systems.…”
Section: Theorymentioning
confidence: 99%
“…The SHG [4] technique exhibits great sensitivity to surfaces and interfaces. For instance, it is capable of monitoring the filling process in a single atomic monolayer during layer-by-layer crystal growth [5].…”
Section: Introductionmentioning
confidence: 99%
“…The resonance principle can be found in the roots of many macroscopic real-time 3D visualization techniques with one of the brightest examples being MRI (magnetic resonance imaging), which is exploiting the resonance of a nucleus of atoms absorbing energy from the magnetic field and is often used to image internal organs in medical diagnosis. On the other hand, resonance of light waves is mostly used for investigation of living cells and tissues and provide foundation of techniques such as optical tomography, speckle-interferometry, non-linear optical microscopy or FRET (Lauterborn et al, 2003;Periasamy & Diaspro, 2003;Lakowicz, 2006;Verbiest et al, 2009;Sun et al, 2011). All these technologies take profit from a special capacity of resonance to improve the signal recognition from the studied phenomena while minimizing sample damage.…”
Section: Towards Intelligent Sensing Of the Dynamics In Living Systemmentioning
confidence: 99%