Comparison of image reconstruction methods for structured illumination microscopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F14%3A10285501" target="_blank" >RIV/00216208:11110/14:10285501 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/14:00221797
Result on the web
<a href="http://dx.doi.org/10.1117/12.2052621" target="_blank" >http://dx.doi.org/10.1117/12.2052621</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2052621" target="_blank" >10.1117/12.2052621</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of image reconstruction methods for structured illumination microscopy
Original language description
Structured illumination microscopy (SIM) is a recent microscopy technique that enables one to go beyond the diffraction limit using patterned illumination. The high frequency information is encoded through aliasing into the observed image. By acquiring multiple images with different illumination patterns aliased components can be separated and a highresolution image reconstructed. Here we investigate image processing methods that perform the task of high-resolution image reconstruction, namely square-law detection, scaled subtraction, super-resolution SIM (SR-SIM), and Bayesian estimation. The optical sectioning and lateral resolution improvement abilities of these algorithms were tested under various noise level conditions on simulated data and on fluorescence microscopy images of a pollen grain test sample and of a cultured cell stained for the actin cytoskeleton. In order to compare the performance of the algorithms, the following objective criteria were evaluated: Signal to Noise R
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Biophotonics: Photonic Solutions for Better Health Care IV
ISBN
978-1-62841-077-8
ISSN
0277-786X
e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
SPIE
Place of publication
Bellingham
Event location
Brussels, Belgium
Event date
Apr 14, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000343438000081