Evidence map›Paper›PMID 27867725›Full record

ArticleBiomedical optics express2016

Phase stretch transform for super-resolution localization microscopy.

Tali Ilovitsh, Bahram Jalali, Mohammad H Asghari, Zeev Zalevsky

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Feature Enhancement in Visually Impaired Images.IEEE access : practical innovations, open solutions · 2018
    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

4 authors.

Tali IlovitshFaculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel; The Bar-Ilan Institute of Nanotechnology & Advanced Materials, Bar Ilan University, Ramat-Gan 5290002, Israel.
Bahram JalaliDepartment of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Mohammad H AsghariDepartment of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Zeev ZalevskyFaculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel; The Bar-Ilan Institute of Nanotechnology & Advanced Materials, Bar Ilan University, Ramat-Gan 5290002, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution localization microscopy has revolutionized the observation of living structures at the cellular scale, by achieving a spatial resolution that is improved by more than an order of magnitude compared to the diffraction limit. These methods localize single events from isolated sources in repeated cycles in order to achieve super-resolution. The requirement for sparse distribution of simultaneously activated sources in the field of view dictates the acquisition of thousands of frames in order to construct the full super-resolution image. As a result, these methods have slow temporal resolution which is a major limitation when investigating live-cell dynamics. In this paper we present the use of a phase stretch transform for high-density super-resolution localization microscopy. This is a nonlinear frequency dependent transform that emulates the propagation of light through a physical medium with a specific warped diffractive property and applies a 2D phase function to the image in the frequency domain. By choosing properly the transform parameters and the phase kernel profile, the point spread function of each emitter can be sharpened and narrowed. This enables the localization of overlapping emitters, thus allowing a higher density of activated emitters as well as shorter data collection acquisition rates. The method is validated by numerical simulations and by experimental data obtained using a microtubule sample.

Indexed as

(100.0100) Image processing(100.3010) Image reconstruction techniques(100.6640) Superresolution(180.2520) Fluorescence microscopy

Identifiers

PMID27867725
PMCPMC5102550

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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.