Evidence map›Paper›PMID 25909010›Full record

ArticleBiomedical optics express2015

Superresolved labeling nanoscopy based on temporally flickering nanoparticles and the K-factor image deshadowing.

Tali Ilovitsh, Yossef Danan, Asaf Ilovitsh, Amihai Meiri, Rinat Meir, Zeev Zalevsky

Abstract read
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Article in Biomedical optics express, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tali IlovitshFaculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel.
Yossef DananFaculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel.
Asaf IlovitshFaculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel.
Amihai MeiriDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA.
Rinat MeirFaculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel.
Zeev ZalevskyFaculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Localization microscopy provides valuable insights into cellular structures and is a rapidly developing field. The precision is mainly limited by additive noise and the requirement for single molecule imaging that dictates a low density of activated emitters in the field of view. In this paper we present a technique aimed for noise reduction and improved localization accuracy. The method has two steps; the first is the imaging of gold nanoparticles that labels targets of interest inside biological cells using a lock-in technique that enables the separation of the signal from the wide spread spectral noise. The second step is the application of the K-factor nonlinear image decomposition algorithm on the obtained image, which improves the localization accuracy that can reach 5nm and enables the localization of overlapping particles at minimal distances that are closer by 65% than conventional methods.

Indexed as

(100.0100) Image processing(100.3010) Image reconstruction techniques(100.6640) Superresolution(170.0180) Microscopy(170.4090) Modulation techniques

Identifiers

PMID25909010
PMCPMC4399665

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.