188 research outputs found
Comparison between SOFI and STORM
A straightforward method to achieve super-resolution consists of taking an image sequence of stochastically blinking emitters using a standard wide-field fluorescence microscope. Densely packed single molecules can be distinguished sequentially in time using high-precision localization algorithms (e.g., PALM and STORM) or by analyzing the statistics of the temporal fluctuations (SOFI). In a face-to-face comparison of the two post-processing algorithms, we show that localization-based super-resolution can deliver higher resolution enhancements but imposes significant constraints on the blinking behavior of the probes, which limits its applicability for live-cell imaging. SOFI, on the other hand, works more consistently over different photo-switching kinetics and also delivers information about the specific blinking statistics. Its suitability for low SNR acquisition reveals SOFI's potential as a high-speed super-resolution imaging technique
Detection efficiency in total internal reflection fluorescence microscopy
We present a rapid and flexible framework for the accurate calculation of the detection efficiency of fluorescence emission in isotropic media as well as in the vicinity of dielectric or metallic interfaces. The framework accounts for the dipole characteristics of the emitted fluorescence and yields the absolute detection efficiency by taking into account the total power radiated by the fluorophore. This analysis proved to be useful for quantitative measurements, i.e. the fluorescence detection at a glass–water interface for total internal reflection fluorescence microscopy in an epi- and a trans-illumination configuration
Image formation and tomogram reconstruction in optical coherence microscopy
In this work we present a model for image formation in optical coherence microscopy. In the spectral domain detection, each wavenumber has a specific coherent transfer function that samples a different part of the object's spatial frequency spectrum. The reconstruction of the tomogram is usually accurate only in a short depth of field. Using numerical simulations based on the developed model, we identified two distinct mechanisms that influence the signal of out-of-focus sample information. Besides the lateral blurring induced through defocusing, an additional axial envelope contributing equally to the signal degradation was found. (C) 2010 Optical Society of Americ
Multiplane 3D superresolution optical fluctuation imaging
By switching fluorophores on and off in either a deterministic or a
stochastic manner, superresolution microscopy has enabled the imaging of
biological structures at resolutions well beyond the diffraction limit.
Superresolution optical fluctuation imaging (SOFI) provides an elegant way of
overcoming the diffraction limit in all three spatial dimensions by computing
higher-order cumulants of image sequences of blinking fluorophores acquired
with a conventional widefield microscope. So far, three-dimensional (3D) SOFI
has only been demonstrated by sequential imaging of multiple depth positions.
Here we introduce a versatile imaging scheme which allows for the simultaneous
acquisition of multiple focal planes. Using 3D cross-cumulants, we show that
the depth sampling can be increased. Consequently, the simultaneous acquisition
of multiple focal planes reduces the acquisition time and hence the
photo-bleaching of fluorescent markers. We demonstrate multiplane 3D SOFI by
imaging the mitochondria network in fixed C2C12 cells over a total volume of
without depth scanning.Comment: 7 pages, 3 figure
Visible spectrum extended-focus optical coherence microscopy for label-free sub-cellular tomography
We present a novel extended-focus optical coherence microscope (OCM)
attaining 0.7 {\mu}m axial and 0.4 {\mu}m lateral resolution maintained over a
depth of 40 {\mu}m, while preserving the advantages of Fourier domain OCM. Our
method uses an ultra-broad spectrum from a super- continuum laser source. As
the spectrum spans from near-infrared to visible wavelengths (240 nm in
bandwidth), we call the method visOCM. The combination of such a broad spectrum
with a high-NA objective creates an almost isotropic 3D submicron resolution.
We analyze the imaging performance of visOCM on microbead samples and
demonstrate its image quality on cell cultures and ex-vivo mouse brain tissue.Comment: 15 pages, 7 figure
Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging
Surface molecules, distributed in diverse patterns and clusters on cell
membranes, influence vital functions of living cells. It is therefore important
to understand their molecular surface organisation under different
physiological and pathological conditions. Here, we present a model-free,
quantitative method to determine the distribution of cell surface molecules
based on TIRF illumination and super-resolution optical fluctuation imaging
(SOFI). This SOFI-based approach is robust towards single emitter
multiple-blinking events, high labelling densities and high blinking rates. In
SOFI, the molecular density is not based on counting events, but results as an
intrinsic property due to the correlation of the intensity fluctuations. The
effectiveness and robustness of the method was validated using simulated data,
as well as experimental data investigating the impact of palmitoylation on CD4
protein nanoscale distribution in the plasma membrane of resting T cells.Comment: 9 pages, 3 figures plus Supplementary Informatio
Complementarity of PALM and SOFI for super-resolution live cell imaging of focal adhesions
Live cell imaging of focal adhesions requires a sufficiently high temporal
resolution, which remains a challenging task for super-resolution microscopy.
We have addressed this important issue by combining photo-activated
localization microscopy (PALM) with super-resolution optical fluctuation
imaging (SOFI). Using simulations and fixed cell focal adhesion images, we
investigated the complementarity between PALM and SOFI in terms of spatial and
temporal resolution. This PALM-SOFI framework was used to image focal adhesions
in living cells, while obtaining a temporal resolution below 10 s. We
visualized the dynamics of focal adhesions, and revealed local mean velocities
around 190 nm per minute. The complementarity of PALM and SOFI was assessed in
detail with a methodology that integrates a quantitative resolution and
signal-to-noise metric. This PALM and SOFI concept provides an enlarged
quantitative imaging framework, allowing unprecedented functional exploration
of focal adhesions through the estimation of molecular parameters such as the
fluorophore density and the photo-activation and photo-switching rates
Continuous wavelet transform ridge extraction for spectral interferometry imaging
The combination of wavelength multiplexing and spectral interferometry allows for the encoding of multidimensional information and its transmission over a mono-dimensional channel; for example, measurements of a surface's topography acquired through a monomode fiber in a small endoscope. The local depth of the imaged object is encoded in the local spatial frequency of the signal measured at the output of the fiber-decoder system. We propose a procedure to retrieve the depth-map by determining the signal's instantaneous frequency. First, we compute its continuous, complex-valued, wavelet transform (CWT). The frequency signature at every position is contained in the resulting scalogram. We then extract the ridge of maximal response by use of a dynamic programming algorithm thus directly recovering the object's topography. We present results that validate this procedure based on both simulated and experimental data
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