K-factor image deshadowing for three-dimensional fluorescence microscopy.

Tali Ilovitsh, Aryeh Weiss, Amihai Meiri, Carl G Ebeling, Aliza Amiel, Hila Katz, Batya Mannasse-Green, Zeev Zalevsky

Abstract readEvaluation Study

In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Phase stretch transform for super-resolution localization microscopy.Biomedical optics express · 2016
Article

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

8 authors.

Tali IlovitshFaculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel.

Aryeh WeissFaculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel.

Amihai MeiriDepartment of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA.

Carl G EbelingDepartment of Physics and Astronomy, University of Utah, Salt Lake City, UT.

Aliza AmielGenetic Institute, Meir Medical Center, Kfar Saba, Israel.

Hila KatzGenetic Institute, Meir Medical Center, Kfar Saba, Israel.

Batya Mannasse-GreenGenetic Institute, Meir Medical Center, Kfar Saba, Israel.

Zeev ZalevskyFaculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to track single fluorescent particles within a three dimensional (3D) cellular environment can provide valuable insights into cellular processes. In this paper, we present a modified nonlinear image decomposition technique called K-factor that reshapes the 3D point spread function (PSF) of an XYZ image stack into a narrow Gaussian profile. The method increases localization accuracy by ~60% with compare to regular Gaussian fitting, and improves minimal resolvable distance between overlapping PSFs by ~50%. The algorithm was tested both on simulated data and experimentally.

Indexed as

AlgorithmsCell TrackingImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMicroscopy, FluorescencePattern Recognition, AutomatedReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID26333693

DOI10.1038/srep13724

PMCPMC4558540

What OpenQuestion holds

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Registered trials

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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.