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Single molecule localization microscopy has seen a remarkable growth since its first
experimental implementations about a decade ago. Despite its technical challenges,
it is already widely used in medicine and biology and is valued as a unique tool
to gain molecular information with high specificity. However, common illumination techniques do not allow the use of single molecule sensitive super-resolution
microscopy techniques such as direct stochastic optical reconstruction microscopy
(dSTORM) for whole cell imaging. In addition, they can potentially alter the
quantitative information.
In this thesis, I combine dSTORM imaging in three dimensions with lattice lightsheet illumination to gain quantitative molecular information from cells unperturbed by the illumination and cover slip effects. Lattice light-sheet illumination
uses optical lattices for beam shaping to restrict the illumination to the detectable
volume. I describe the theoretical background needed for both techniques and detail
the experimental realization of the system as well as the software that I developed
to efficiently evaluate the data.
Eventually, I will present key datasets that demonstrate the capabilities of the
developed microscope system with and without dSTORM. My main goal here was
to use these techniques for imaging the neural cell adhesion molecule (NCAM, also
known as CD56) in whole cells. NCAM is a plasma membrane receptor known to
play a key role in biological processes such as memory and learning. Combining
dSTORM and lattice light-sheet illumination enables the collection of quantitative
data of the distribution of molecules across the whole plasma membrane, and shows
an accumulation of NCAM at cell-cell interfaces. The low phototoxicity of lattice
light-sheet illumination further allows for tracking individual NCAM dimers in living cells, showing a significant dependence of its mobility on the actin skeleton of
the cell.
Point-spread function engineering for single-molecule localization microscopy in brain slices
(2022)
Single-molecule localization microscopy (SMLM) is the method of choice to study biological specimens on a nanoscale level. Advantages of SMLM imply its superior specificity due to targeted molecular fluorescence labeling and its enhanced tissue preservation compared to electron microscopy, while reaching similar resolution. To reveal the molecular organization of protein structures in brain tissue, SMLM moves to the forefront: Instead of investigating brain slices with a thickness of a few µm, measurements of intact neuronal assemblies (up to 100 µm in each dimension) are required. As proteins are distributed in the whole brain volume and can move along synapses in all directions, this method is promising in revealing arrangements of neuronal protein markers. However, diffraction-limited imaging still required for the localization of the fluorophores is prevented by sample-induced distortion of emission pattern due to optical aberrations in tissue slices from non-superficial planes. In particular, the sample causes wavefront dephasing, which can be described as a summation of Zernike polynomials. To recover an optimal point spread function (PSF), active shaping can be performed by the use of adaptive optics. The aim of this thesis is to establish a setup using a deformable mirror and a wavefront sensor to actively shape the PSF to correct the wavefront phases in a super-resolution microscope setup. Therefore, fluorescence-labeled proteins expressed in different anatomical regions in brain tissue will be used as experiment specimen. Resolution independent imaging depth in slices reaching tens of micrometers is aimed.