Abstract:
Confocal and two-photon microcopy have become essential tools in biological research and
today many investigations are not possible without their help. The valuable advantage that
these two techniques offer is the ability of optical sectioning. Optical sectioning makes it
possible to obtain 3D visuahzation of the structiu-es, and hence, valuable information of the
structural relationships, the geometrical, and the morphological aspects of the specimen.
The achievable lateral and axial resolutions by confocal and two-photon microscopy, similar
to other optical imaging systems, are both defined by the diffraction theorem. Any aberration
and imperfection present during the imaging results in broadening of the calculated
theoretical resolution, blurring, geometrical distortions in the acquired images that interfere
with the analysis of the structures, and lower the collected fluorescence from the specimen.
The aberrations may have different causes and they can be classified by their sources such
as specimen-induced aberrations, optics-induced aberrations, illumination aberrations, and
misalignment aberrations.
This thesis presents an investigation and study of image enhancement. The goal of this
thesis was approached in two different directions. Initially, we investigated the sources of
the imperfections. We propose methods to eliminate or minimize aberrations introduced
during the image acquisition by optimizing the acquisition conditions. The impact on the
resolution as a result of using a coverslip the thickness of which is mismatched with the one
that the objective lens is designed for was shown and a novel technique was introduced in
order to define the proper value on the correction collar of the lens. The amoimt of spherical
aberration with regard to t he numerical aperture of the objective lens was investigated and
it was shown that, based on the purpose of our imaging tasks, different numerical apertures must be used. The deformed beam cross section of the single-photon excitation source was
corrected and the enhancement of the resolution and image quaUty was shown. Furthermore,
the dependency of the scattered light on the excitation wavelength was shown empirically.
In the second part, we continued the study of the image enhancement process by deconvolution
techniques. Although deconvolution algorithms are used widely to improve the
quality of the images, how well a deconvolution algorithm responds highly depends on the
point spread function (PSF) of the imaging system applied to the algorithm and the level of
its accuracy. We investigated approaches that can be done in order to obtain more precise
PSF. Novel methods to improve the pattern of the PSF and reduce the noise are proposed.
Furthermore, multiple soiu'ces to extract the PSFs of the imaging system are introduced and
the empirical deconvolution results by using each of these PSFs are compared together. The
results confirm that a greater improvement attained by applying the in situ PSF during the
deconvolution process.