Literature DB >> 27867725

Phase stretch transform for super-resolution localization microscopy.

Tali Ilovitsh1, Bahram Jalali2, Mohammad H Asghari2, Zeev Zalevsky1.   

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.

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

Year:  2016        PMID: 27867725      PMCID: PMC5102550          DOI: 10.1364/BOE.7.004198

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  28 in total

1.  Quantitative comparison of algorithms for tracking single fluorescent particles.

Authors:  M K Cheezum; W F Walker; W H Guilford
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

2.  Precise nanometer localization analysis for individual fluorescent probes.

Authors:  Russell E Thompson; Daniel R Larson; Watt W Webb
Journal:  Biophys J       Date:  2002-05       Impact factor: 4.033

3.  Nanometer-localized multiple single-molecule fluorescence microscopy.

Authors:  Xiaohui Qu; David Wu; Laurens Mets; Norbert F Scherer
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-26       Impact factor: 11.205

4.  Gaussian approximations of fluorescence microscope point-spread function models.

Authors:  Bo Zhang; Josiane Zerubia; Jean-Christophe Olivo-Marin
Journal:  Appl Opt       Date:  2007-04-01       Impact factor: 1.980

5.  Improved localization accuracy in stochastic super-resolution fluorescence microscopy by K-factor image deshadowing.

Authors:  Tali Ilovitsh; Amihai Meiri; Carl G Ebeling; Rajesh Menon; Jordan M Gerton; Erik M Jorgensen; Zeev Zalevsky
Journal:  Biomed Opt Express       Date:  2013-12-16       Impact factor: 3.732

6.  Automated detection and tracking of individual and clustered cell surface low density lipoprotein receptor molecules.

Authors:  R N Ghosh; W W Webb
Journal:  Biophys J       Date:  1994-05       Impact factor: 4.033

7.  Simultaneous multiple-emitter fitting for single molecule super-resolution imaging.

Authors:  Fang Huang; Samantha L Schwartz; Jason M Byars; Keith A Lidke
Journal:  Biomed Opt Express       Date:  2011-04-29       Impact factor: 3.732

8.  Edge detection in digital images using dispersive phase stretch transform.

Authors:  Mohammad H Asghari; Bahram Jalali
Journal:  Int J Biomed Imaging       Date:  2015-03-23

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

Authors:  Tali Ilovitsh; Aryeh Weiss; Amihai Meiri; Carl G Ebeling; Aliza Amiel; Hila Katz; Batya Mannasse-Green; Zeev Zalevsky
Journal:  Sci Rep       Date:  2015-09-03       Impact factor: 4.379

10.  FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data.

Authors:  Junhong Min; Cédric Vonesch; Hagai Kirshner; Lina Carlini; Nicolas Olivier; Seamus Holden; Suliana Manley; Jong Chul Ye; Michael Unser
Journal:  Sci Rep       Date:  2014-04-03       Impact factor: 4.379

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  1 in total

1.  An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation.

Authors:  Wei Wang; Ying Jia; Qiming Wang; Pengfei Xu
Journal:  Comput Intell Neurosci       Date:  2021-01-13
  1 in total

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