English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Model-free uncertainty estimation in stochastical optical fluctuation imaging (SOFI) leads to a doubled temporal resolution.

Vandenberg, W., Duwe, S., Leutenegger, M., Moeyaert, B., Krajnik, B., Lasser, T., et al. (2016). Model-free uncertainty estimation in stochastical optical fluctuation imaging (SOFI) leads to a doubled temporal resolution. Biomedical Optics Express, 7(2), 467-480. doi:10.1364/BOE.7.000467.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-B344-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-268D-E
Genre: Journal Article

Files

show Files
hide Files
:
2249418.pdf (Publisher version), 4MB
Name:
2249418.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Vandenberg, W., Author
Duwe, S., Author
Leutenegger, M.1, Author              
Moeyaert, B., Author
Krajnik, B., Author
Lasser, T., Author
Dedecker, P., Author
Affiliations:
1Department of NanoBiophotonics, MPI for biophysical chemistry, Max Planck Society, ou_578627              

Content

show
hide
Free keywords: -
 Abstract: Stochastic optical fluctuation imaging (SOFI) is a superresolution fluorescence imaging technique that makes use of stochastic fluctuations in the emission of the fluorophores. During a SOFI measurement multiple fluorescence images are acquired from the sample, followed by the calculation of the spatiotemporal cumulants of the intensities observed at each position. Compared to other techniques, SOFI works well under conditions of low signal-to-noise, high background, or high emitter densities. However, it can be difficult to unambiguously determine the reliability of images produced by any superresolution imaging technique. In this work we present a strategy that enables the estimation of the variance or uncertainty associated with each pixel in the SOFI image. In addition to estimating the image quality or reliability, we show that this can be used to optimize the signal-to-noise ratio (SNR) of SOFI images by including multiple pixel combinations in the cumulant calculation. We present an algorithm to perform this optimization, which automatically takes all relevant instrumental, sample, and probe parameters into account. Depending on the optical magnification of the system, this strategy can be used to improve the SNR of a SOFI image by 40% to 90%. This gain in information is entirely free, in the sense that it does not require additional efforts or complications. Alternatively our approach can be applied to reduce the number of fluorescence images to meet a particular quality level by about 30% to 50%, strongly improving the temporal resolution of SOFI imaging. (C) 2016 Optical Society of America

Details

show
hide
Language(s): eng - English
 Dates: 2016-01-152016-02-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1364/BOE.7.000467
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Biomedical Optics Express
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7 (2) Sequence Number: - Start / End Page: 467 - 480 Identifier: -