Assessing resolution in live cell structured illumination microscopy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00316024" target="_blank" >RIV/68407700:21230/17:00316024 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1117/12.2292793" target="_blank" >http://dx.doi.org/10.1117/12.2292793</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2292793" target="_blank" >10.1117/12.2292793</a>

Result language

angličtina

Original language name

Assessing resolution in live cell structured illumination microscopy

Original language description

Structured Illumination Microscopy (SIM) is a powerful super-resolution technique, which is able to enhance the resolution of optical microscope beyond the Abbe diffraction limit. In the last decade, numerous SIM methods that achieve the resolution of 100 nm in the lateral dimension have been developed. The SIM setups with new high-speed cameras and illumination pattern generators allow rapid acquisition of the live specimen. Therefore, SIM is widely used for investigation of the live structures in molecular and live cell biology. Quantitative evaluation of resolution enhancement in a real sample is essential to describe the efficiency of super-resolution microscopy technique. However, measuring the resolution of a live cell sample is a challenging task. Based on our experimental findings, the widely used Fourier ring correlation (FRC) method does not seem to be well suited for measuring the resolution of SIM live cell video sequences. Therefore, the resolution assessing methods based on Fourier spectrum analysis are often used. We introduce a measure based on circular average power spectral density (PSDca) estimated from a single SIM image (one video frame). PSDca describes the distribution of the power of a signal with respect to its spatial frequency. Spatial resolution corresponds to the cut-off frequency in Fourier space. In order to estimate the cut-off frequency from a noisy signal, we use a spectral subtraction method for noise suppression. In the future, this resolution assessment approach might prove useful also for single-molecule localization microscopy (SMLM) live cell imaging.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

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)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Photonics, Devices, and Systems VII

ISBN

978-1-5106-1702-5

ISSN

0277-786X

e-ISSN

—

Number of pages

7

Pages from-to

"106030D-1"-"106030D-7"

Publisher name

SPIE

Place of publication

Bellingham

Event location

Prague

Event date

Aug 28, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000425429900012