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CCD camera image

Figure 7. Light scattering of a microresonator with a water cladding (a) spectra obtained as response to a tunable laser with clearly visible high finesse resonances (b) CCD camera images of the microresonator obtained off-resonance, (c) idem on-resonance. Figure 7. Light scattering of a microresonator with a water cladding (a) spectra obtained as response to a tunable laser with clearly visible high finesse resonances (b) CCD camera images of the microresonator obtained off-resonance, (c) idem on-resonance.
FIGURE 3.7 (a) The CCD camera image of the tetracene-doped anthracene microcrystal used for the femtosecond fluorescence dynamics imaging, (b) The dynamics image obtained from the region indicated by a broken rectangle in (a) (excitation 400 nm fluorescence 530 nm). (From Fujino, T., Fujima, T., and Tahara, T., J. Phys. Chem. B 109 15327-15331, 2005. Used with permission.)... [Pg.62]

Fig. 1. The CCD camera image of the a-perylene microcrystal used for the femtosecond fluorescence up-conversion microscopy... Fig. 1. The CCD camera image of the a-perylene microcrystal used for the femtosecond fluorescence up-conversion microscopy...
Figure 2 Diagram of a generalized 2D-PIV setup showing all major components flow channel with the particle seeded fluid flow, laser sheet pulses illuminating one plane in the fluid, a CCD camera imaging the particles in the laser-illuminated sheet in the area of interest, a computer with PIV software installed, a timing circuit communicating with the camera and computer and generating pulses to control the double-pulsed laser. The PIV software setups and controls the major components, and analyses the images to derive a vector representation of flow field (see Plate 4 in Color Plate Section at the end of this book). Figure 2 Diagram of a generalized 2D-PIV setup showing all major components flow channel with the particle seeded fluid flow, laser sheet pulses illuminating one plane in the fluid, a CCD camera imaging the particles in the laser-illuminated sheet in the area of interest, a computer with PIV software installed, a timing circuit communicating with the camera and computer and generating pulses to control the double-pulsed laser. The PIV software setups and controls the major components, and analyses the images to derive a vector representation of flow field (see Plate 4 in Color Plate Section at the end of this book).
Figure 17. Schematic representation of the affinity biosensor construction and the proposed operational principle and voltammetric traces for affinity sensor signalling a biotin-functionalized surface before (A) and after (B) target protein (antibiotin IgG-HRP) association and precipitation reaction steps. Voltammetric measurements were performed in 0.1 M phosphate buffer (pH 7.0),containing 0.1 mM ferrocene methanol as a signal tracer. Inset charge coupled device (CCD) camera images of a sensor surface upon signalling reactions (Adapted from Refs. [176] [177]). Figure 17. Schematic representation of the affinity biosensor construction and the proposed operational principle and voltammetric traces for affinity sensor signalling a biotin-functionalized surface before (A) and after (B) target protein (antibiotin IgG-HRP) association and precipitation reaction steps. Voltammetric measurements were performed in 0.1 M phosphate buffer (pH 7.0),containing 0.1 mM ferrocene methanol as a signal tracer. Inset charge coupled device (CCD) camera images of a sensor surface upon signalling reactions (Adapted from Refs. [176] [177]).
Set scanning criteria, including excitation and emission settings for each CyDye present, and resolution and scan area for each gel (see Table 3). For laser scanner, set focal plane for the laser and set each PMT at a level to avoid saturation. For CCD camera imagers, set the scan exposure time. Use settings for sensitivity, not speed, to achieve optimum results see Note 6). [Pg.12]

The main improvements in quahtative and quantitative detection systems in TLC are centred around the introduction of densitometry. These involve the use of slit scanning densitometers or video or CCD camera (image processing) [130]. [Pg.58]

FIGURE 38.14 (See color insert following page 810.) CCD camera images of on-chip sample peaks of AlexaFluor 488 at the LE/TE interface in two different ITP experiments. In (a) there is finite (nonuniform) EOF and the sample peak streamwise dimension is on the order of channel width or larger. In (b) EOF is suppressed and the sample is concentrated in narrower zone ( 5 jjim) at relatively high electric field. While Taylor dispersion based analysis is probably applicable in the first case, more comprehensive modeling is required for case (b). [Pg.1110]

Fig. 5 Cranpilation of a series of subsequent CCD camera images of the separatitni of a mixture of four eoumaiin dyes (C440, C450, C460, and C480) injected at a concentration of 10 M in a channel with d = 280 mn... Fig. 5 Cranpilation of a series of subsequent CCD camera images of the separatitni of a mixture of four eoumaiin dyes (C440, C450, C460, and C480) injected at a concentration of 10 M in a channel with d = 280 mn...
Figure 6.34 Localization of early brown-rot degradation within a radial thin section of spruce wood with FT-IR imaging microspectroscopy (a) Charge-coupled device (CCD) camera image of 10 tracheids of a degraded spruce wood section from a sample degraded by the brown-rot fungus G. trabeum for 4 weeks, (b) FT-IR pseudocolor spectral absorbance image. Zones of high total absorbance (red) show a high contribution of middle lamella (ML) and primary cell walls (P) and outer layers of secondary... Figure 6.34 Localization of early brown-rot degradation within a radial thin section of spruce wood with FT-IR imaging microspectroscopy (a) Charge-coupled device (CCD) camera image of 10 tracheids of a degraded spruce wood section from a sample degraded by the brown-rot fungus G. trabeum for 4 weeks, (b) FT-IR pseudocolor spectral absorbance image. Zones of high total absorbance (red) show a high contribution of middle lamella (ML) and primary cell walls (P) and outer layers of secondary...

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See also in sourсe #XX -- [ Pg.180 , Pg.310 ]




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