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

doi:10.1038/srep13724

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

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	13724
Journal	Scientific Reports
Volume	5
DOIs	https://doi.org/10.1038/srep13724
State	Published - 3 Sep 2015

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10.1038/srep13724

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title = "K-factor image deshadowing for three-dimensional fluorescence microscopy",

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.",

author = "Tali Ilovitsh and Aryeh Weiss and Amihai Meiri and Ebeling, \{Carl G.\} and Aliza Amiel and Hila Katz and Batya Mannasse-Green and Zeev Zalevsky",

year = "2015",

month = sep,

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doi = "10.1038/srep13724",

language = "الإنجليزيّة",

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T1 - K-factor image deshadowing for three-dimensional fluorescence microscopy

AU - Ilovitsh, Tali

AU - Weiss, Aryeh

AU - Meiri, Amihai

AU - Ebeling, Carl G.

AU - Amiel, Aliza

AU - Katz, Hila

AU - Mannasse-Green, Batya

AU - Zalevsky, Zeev

PY - 2015/9/3

Y1 - 2015/9/3

N2 - 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.

AB - 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.

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U2 - 10.1038/srep13724

DO - 10.1038/srep13724

M3 - مقالة

C2 - 26333693

SN - 2045-2322

VL - 5

JO - Scientific Reports

JF - Scientific Reports

M1 - 13724

ER -

K-factor image deshadowing for three-dimensional fluorescence microscopy

Abstract

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