White Light Interferometry Scanning (WLS)
While white light interferometry
is certainly not new, in fact the development of scanning white-light
interferometry is in many ways a back-to-basics scenario. As interferometry
progressed from using white light to monochromatic light to lasers to
computerized fringe analysis to phase shifting techniques, the path has
actually led right back to white light. Scanning white-light interferometry
combines the power of modern high-speed computers with the vast amount of
surface information produced by white-light interferometry. This permits
WLS-based systems to measure surface features far more accurately than those
measurable with conventional phase-measuring interferometry techniques.
White-light interferometry scanning
(WLS) systems capture intensity data at a series of positions along the
vertical axis, determining where the surface is located by using the shape of
the white-light interferogram. The white light interferogram actually consists
of the superposition of fringes generated by multiple wavelengths, obtaining
peak fringe contrast as a function of scan position, that is, the red portion
of the object beam interferes with the red portion of the reference beam, the
blue interferes with the blue, and so forth. In other words, a prodigious
amount of data is available in white-light interferograms.
Conventional WLS systems use
fringe contrast to yield surface information. Frequency domain analysis (FDA)
is an alternate approach that uses all of the information available in the
interferogram. This Fourier analysis method is used to convert intensity data
to the spatial frequency domain, allowing production of an extremely accurate
surface map.
In a WLS system, an imaging
interferometer is vertically scanned to vary the optical path difference.
During this process, a series of interference patterns are formed at each pixel
in the instrument field of view. This results in an interference function, with
interference varying as a function of optical path difference. The data are
stored digitally and Fourier-transformed into frequency space.
At this point the original
intensity data are expressed in terms of interference phase as a function of
wavenumber. Wavenumber k is just a representation of wavelength in the spatial
frequency domain, defined by k = 2p/l. If phase is plotted versus wavenumber,
the slope of the function corresponds to the relative change in group-velocity
optical path difference DG by Dh = DG/2nG where nG is group-velocity index of
refraction. If this calculation is performed for each pixel, a
three-dimensional surface height map emerges from the data.
In the actual measuring process,
the optical path difference is steadily increased by scanning the objective
vertically using a precision piezoelectric positioner. Interference data are
captured at each step in the scan. In effect, an interferogram is captured as a
function of vertical position for each pixel in the detector array. To sift
through the large amount of data acquired over long scans, a patented technique
involving both acquisition and processing algorithms is used. This method
allows the instrument to reject raw data that do not exhibit the intensity
variations that indicate white-light fringes.
Using discrete Fourier-transform
techniques, the intensity data as a function of the optical path difference are
converted to the spatial frequency domain.
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