Evaluation resolution in live cell structured illumination microscopy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332792" target="_blank" >RIV/68407700:21230/19:00332792 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1117/12.2527885" target="_blank" >https://doi.org/10.1117/12.2527885</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2527885" target="_blank" >10.1117/12.2527885</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation resolution in live cell structured illumination microscopy
Original language description
In the last decade, several different structured illumination microscopy (SIM) approaches have been developed. Precise determination of the effective spatial resolution in a live cell SIM reconstructed image is essential for reliable interpretation of reconstruction results. Theoretical resolution improvement can be calculated for every SIM method. In practice, the final spatial resolution of the cell structures in the reconstructed image is limited by many different factors. Therefore, assessing the resolution directly from the single image is an inherent part of the live cell imaging. There are several commonly used resolution measurement techniques based on image analysis. These techniques include full-width at half maximum (FWHM) criterion, or Fourier ring correlation (FRC). FWHM measurement requires fluorescence beads or sharp edge/line in the observed image to determine the point spread function (PSF). FRC method requires two stochastically independent images of the same observed sample. Based on our experimental findings, the FRC method does not seem to be well suited for measuring the resolution of SIM live cell video sequences. Here we show a method based on the Fourier transform analysis using power spectral density (PSD). In order to estimate the cut-off frequency from a noisy signal, we use PSD estimation based on Welch’s method. This method is widely used in non-parametric power spectra analysis. Since the PSD-based metric can be computed from a single SIM image (one video frame), without any prior knowledge of the acquiring system, it can become a fundamental tool for imaging in live cell biology.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/GA17-05840S" target="_blank" >GA17-05840S: Multicriteria Optimization of Shift-Variant Imaging System Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings Volume 11137 - Applications of Digital Image Processing XLII
ISBN
978-1-5106-2967-7
ISSN
0277-786X
e-ISSN
1996-756X
Number of pages
9
Pages from-to
—
Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego, California
Event date
Aug 11, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000511298300007