2015
DOI: 10.1111/jmi.12287
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A software tool for tomographic axial superresolution in STED microscopy

Abstract: A method for generating three-dimensional tomograms from multiple three-dimensional axial projections in STimulated Emission Depletion (STED) superresolution microscopy is introduced. Our STED< method, based on the use of a micromirror placed on top of a standard microscopic sample, is used to record a three-dimensional projection at an oblique angle in relation to the main optical axis. Combining the STED< projection with the regular STED image into a single view by tomographic reconstruction, is shown to res… Show more

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Cited by 10 publications
(9 citation statements)
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References 26 publications
(53 reference statements)
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“…However, as reaching the full convergence may take a large amount of iterations, we proposed two more practical thresholds based on the rate of change of the effective resolution (−1 nm it −1 and −0.2 nm it −1 ). We compared the FRC metric against two previously published ones τ 1 and η k 1719,34 .…”
Section: Methodsmentioning
confidence: 99%
“…However, as reaching the full convergence may take a large amount of iterations, we proposed two more practical thresholds based on the rate of change of the effective resolution (−1 nm it −1 and −0.2 nm it −1 ). We compared the FRC metric against two previously published ones τ 1 and η k 1719,34 .…”
Section: Methodsmentioning
confidence: 99%
“…We also defined an alternative threshold for stopping the iteration, based on the rate of change of the effective resolution (1µm/it) in our example. We compared our metric against two previously published ones τ 1 and η k [31,32,33].…”
Section: Methodsmentioning
confidence: 99%
“…Image Correlation : An automatic image correlation method was created, based on our own SuperTomo software that was originally developed for tomographic STED image reconstruction, but contains powerful image registration functions that can be easily applied elsewhere. For the CLEM application, the registration functionality of SuperTomo was expanded to 2D images.…”
Section: Methodsmentioning
confidence: 99%
“…Otherwise the image registration implementation was kept the same as in ref. . The different spatial transformations together with various image similarity metrics that have been implemented in SuperTomo, such as normalized cross correlation, mutual information, and mean squared difference, allowed to tune the image correlation settings quite flexibly.…”
Section: Methodsmentioning
confidence: 99%
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