SOFI-based 3D superresolution sectioning with a widefield microscope
© Dertinger et al.; licensee Springer. 2012
Received: 24 November 2011
Accepted: 25 January 2012
Published: 25 April 2012
Fluorescence-based biological imaging has been revolutionized by the recent introduction of superresolution microscopy methods. 3D superresolution microscopy, however, remains a challenge as its implementation by existing superresolution methods is non-trivial.
Here we demonstrate a facile and straightforward 3D superresolution imaging and sectioning of the cytoskeletal network of a fixed cell using superresolution optical fluctuation imaging (SOFI) performed on a conventional lamp-based widefield microscope.
Results and Conclusion
SOFI’s inherent sectioning capability effectively transforms a conventional widefield microscope into a superresolution ‘confocal widefield’ microscope.
Superresolution (SR) imaging has revolutionized fluorescence biological imaging by providing resolution enhancement down to a few 10’s of nanometers, allowing us to decipher morphology of small organelles and sub-cellular structures (S. Hell ; Huang et al. ; Schermelleh et al. ). Superresolution methods, however, generically provide enhanced resolution in two dimensions (2D) only (Betzig et al. ; Rittweger et al. ; Rust et al. ); additional resolution enhancement along the optical axis (i.e. SR in three dimensions, 3D) is a more challenging task and usually requires additional (and often significant) modifications to the optical set-up (Nagorni and Hell ; Pavani et al. ; Roman et al. ; Shtengel et al. ). Other technical challenges have to do with sample preparation protocols. For example, extra care is required to avoiding refractive index changes, since those could adversely affect the quality of the point spread function (PSF) (Huang et al. ; Klar ). The illumination/excitation arm of the microscope often needs to be modified as well (Carlton ; Gustafsson et al. ; Juette et al. ). Furthermore, in single-molecule localization methods, the imaging depth that supports good 3D PSF fitting is very limited because of optical aberrations that rapidly degrade the PSF along the optical axis (z). In structured illumination 3D SR methods, such as 4Pi and ISO STED, refractive index changes are causing even more severe problems, because distorted wavefronts (of excitation and/or depletion beams) lead to loss of resolution and/or incomplete depletion. However, despite these challenges, 3D images with unprecedented clarity were already resolved far below 100 nm along the optical axis (Aquino et al. ). Recently we developed a novel approach to superresolution, which we termed Superresolution Optical Fluctuation Imaging (SOFI) (Dertinger et al. ; Dertinger et al. [2010a]; Dertinger et al. [2010b]). We were able to show that SOFI works on data acquired by a conventional lamp-based widefield microscope without any hardware modifications, achieving a factor of five in resolution enhancement using quantum dots (and a factor of four using conventional dyes (Dertinger et al. [2010b]; Geissbuehler et al. ) while concomitantly eliminating background and out-of-focus light. Further, we showed that the achieved resolution enhancement is taking place along all three dimensions. Here we expand on the inherent 3D sectioning and the enhanced axial resolution attributes of SOFI by demonstrating straightforward 3D superresolution imaging of a whole cell using a widefield, lamp-based optical microscope.
The tubulin network of fixed HELA cells was immuno-stained with infrared emitting quantum dots (QD800, LifeTec, USA). A conventional LED-based (Aura light engine, Lumencor Inc., USA) widefield microscope (Nikon Eclipse Ti, Nikon Inc. USA) equipped with a piezo objective holder was used to successively acquire movies at different foci. 2000 frames were acquired per given height, with 32 height steps of 200 nm each. Excitation wavelength was 460–480 nm. Data were recorded using a 600 nm long pass. The acquisition time per given height was 60s. Each movie (single height) was processed using the SOFI algorithm adjusted for time lag zero only using cross-cumulants (see (Dertinger et al. [2010a])). Data analysis was done with home-written Matlab routines. Imaris (Bitplane, USA) was used for 3D rendering.
Results and discussion
We demonstrated SOFI-based 3D superresolution imaging of a whole cell using a conventional, unmodified, widefield microscope. These findings demonstrate the power and increased utility of the SOFI algorithm and could possibly allow extending these capabilities to deep tissue 3D superresolution imaging in the future. While QDs have many advantages, a drawback for SOFI analysis is their non-trivial power-law intermittency (blinking) behavior (Kuno et al. ). While for the second-order SOFI images the power-law blinking is not problematic, it has a stronger impact on higher order SOFI images (see discussion in (Dertinger et al. )). A Poisson blinking process (as for triplet states of dyes and fluorescent proteins) does not suffer from this limitation and therefore is more amenable for higher order analysis.
Further axial resolution enhancement is expected if a multi-z-view acquisition is employed.
This work was supported by the National Institute of Health (NIH) grant# 5R01EB000312 and grant# 1R01GM086197 (to SW).
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