In this paper, we present the design of a 0.2 NA microscope objective operating across a 120nm broadband spectral
range that requires only two doublets and an embedded liquid lens to achieve 3 μm invariant lateral resolution throughout
a large 8 cubic millimeter imaging sample. Achieving invariant lateral resolution comes with some sacrifice in imaging
speed, yet in the approach proposed, high speed in vivo imaging is maintained up to a resolution of 3 μm for a 2x2 mm
sample size. Thus, in anticipation to ultimately aim for a resolution of 0.5 to 1 μm, we are investigating the possibility to
further gain in resolution using super-resolution methods so both hardware solutions and image processing methods
together can provide the best trade-off in overall resolution and speed of imaging. As a starting point to investigate
super-resolution methods, we evaluate in this paper three well-known super-resolution algorithms used to reconstruct a
high resolution image from down-sampled low resolution images of an African frog tadpole acquired en face using our
OCM set-up. To establish ground truth necessary for assessment of the methods, low resolution images were simulated
from a high resolution OCM image. The specification and design performance of the custom designed microscope will
be presented as well as our first results of super-resolution imaging. The performance of each algorithm was analyzed
and all performances compared using two different metrics. Early results indicate that super-resolution may play a
significant role in the optimization of high invariant resolution OCM systems.
In this paper, we summarize our initial experiences in designing head-worn displays with free-form optical surfaces.
Typical optical surfaces implemented in raytrace codes today are functions mapping two dimensional vectors to real
numbers. The majority of optical designs to date have relied on conic sections and polynomials as the functions of choice.
The choice of conic sections is justified since conic sections are stigmatic surfaces under certain imaging geometries.
The choice of polynomials from the point of view of surface description can be challenged. The advantage of using
polynomials is that the wavefront aberration function is typically expanded in polynomials. Therefore, a polynomial
surface description may link a designer's understanding of wavefront aberrations and the surface description. The
limitations of using multivariate polynomials are described by a theorem due to Mairhuber and Curtis from
approximation theory. In our recent work, we proposed and applied radial basis functions to represent optical surfaces as
an alternative to multivariate polynomials. We compare the polynomial descriptions to radial basis functions using the
MTF criteria. The benefits of using radial basis functions for surface description are summarized in the context of
specific magnifier systems, i.e., head-worn displays. They include, for example, the performance increase measured by
the MTF, or the ability to increase the field of view or pupil size. Full-field displays are used for node placement within
the field of view for the dual-element head-worn display.
Conference Committee Involvement (3)
Video Surveillance and Transportation Imaging Applications 2015
10 February 2015 | San Francisco, California, United States
Video Surveillance and Transportation Imaging Applications 2014
3 February 2014 | San Francisco, California, United States
Video Surveillance and Transportation Imaging Applications
4 February 2013 | Burlingame, California, United States
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