Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 209,922,949 papers from all fields of science
Search
Sign In
Create Free Account
Super-resolution optical fluctuation imaging
Known as:
Sofi
Super-resolution optical fluctuation imaging (SOFI) is a post-processing method for the calculation of super-resolved images from recorded image time…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
2 relations
Broader (1)
Image processing
Photoactivated localization microscopy
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Sparsity-based super-resolution optical fluctuation imaging
Oren Solomon
,
Maor Mutzafi
,
Xiyu Yi
,
S. Weiss
,
Yonina C. Eldar
,
M. Segev
Conference on Lasers and Electro-Optics
2016
Corpus ID: 21176557
We present a new imaging technique optimizing the spatio-temporal resolution in fluorescence microscopy. This method achieves…
Expand
2015
2015
Multiple Path-Dependent Routes for Phase-Transition Kinetics in Thermoresponsive and Field-Responsive Ultrasoft Colloids
P. Mohanty
,
P. Bagheri
,
S. Nöjd
,
A. Yethiraj
,
P. Schurtenberger
2015
Corpus ID: 4933094
The nature of solid-solid phase transformations has been a long-standing question spanning the fields of metallurgy and condensed…
Expand
Review
2014
Review
2014
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach
M. Crippa
,
F. Canonaco
,
+34 authors
A. Prévôt
2014
Corpus ID: 51913195
Abstract. Organic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM1) and comprise a huge…
Expand
Highly Cited
2014
Highly Cited
2014
Enabling factors for establishing REDD+ in a context of weak governance
K. Korhonen-Kurki
,
J. Sehring
,
M. Brockhaus
,
M. Di Gregorio
2014
Corpus ID: 55331493
Reducing emissions from deforestation and forest degradation (REDD+) has emerged as an important carbon governance mechanism…
Expand
2013
2013
Three-dimensional Super-resolution Optical Fluctuation Imaging
M. Leutenegger
,
Stefan Geissbühler
,
N. Bocchio
,
Corinne Berclaz
,
T. Lasser
2013
Corpus ID: 91980499
Super-resolution optical fluctuation imaging (SOFI) achieves three-dimensional super-resolution by computing higher-order spatio…
Expand
2012
2012
Balanced super-resolution optical fluctuation imaging
S. Geissbühler
,
N. Bocchio
,
Claudio Dellagiacoma
,
Corinne Berclaz
,
M. Leutenegger
,
T. Lasser
2012
Corpus ID: 137306261
Keywords: Super-resolution ; Fluorescence microscopy ; Fluctuation imaging Reference EPFL-TALK-176408 Record created on 2012-04…
Expand
2012
2012
Balanced Super-resolution Optical Fluctuation Imaging (bSOFI)
Stefan Geissbühler
,
N. Bocchio
,
+4 authors
T. Lasser
2012
Corpus ID: 93353308
Super-resolution optical fluctuation imaging (SOFI) achieves 3D super-resolution by computing higher-order cumulants of…
Expand
2011
2011
Distance to Galactic globulars using the near‐infrared magnitudes of RR Lyrae stars – IV. The case of M5 (NGC 5904)
G. Coppola
,
M. Dall’ora
,
+6 authors
J. Storm
2011
Corpus ID: 118369287
We present new and accurate near-infrared (NIR) J, K-band time series data for the Galactic globular cluster (GC) M5 = NGC 5904…
Expand
Highly Cited
2009
Highly Cited
2009
Fast , background-free , 3 D super-resolution optical fluctuation imaging ( SOFI )
T. Dertingera
,
R. Colyera
,
G. Iyera
,
S. Weissa
,
J. Enderleind
2009
Corpus ID: 53383892
Super-resolution optical microscopy is a rapidly evolving area of fluorescence microscopy with a tremendous potential for…
Expand
Highly Cited
2001
Highly Cited
2001
Temporal variability in dissolved inorganic nitrogen fluxes at the sediment–water interface and related annual budget on a continental shelf (NW Mediterranean)
L. Denis
,
C. Grenz
,
E. Alliot
,
M. Rodier
2001
Corpus ID: 53616917
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE