Application of Two-dimensional Fourier Transform in Structured-illumination Microscopy

2018 ◽  
Author(s):  
Zhong-ye XIE ◽  
Yan TANG ◽  
Yi ZHOU ◽  
Chu-yi CHEN
Keyword(s):  
Fourier Transform ◽  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy

scholarly journals Two-dimensional TIRF-SIM–traction force microscopy (2D TIRF-SIM-TFM)

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Liliana Barbieri ◽  
Huw Colin-York ◽  
Kseniya Korobchevskaya ◽  
Di Li ◽  
Deanna L. Wolfson ◽  
...  
Keyword(s):  
Resolution Enhancement ◽  
Traction Force ◽  
Super Resolution ◽  
Traction Force Microscopy ◽  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Force Microscopy ◽  
Health And Disease ◽  
Spatio Temporal

AbstractQuantifying small, rapidly evolving forces generated by cells is a major challenge for the understanding of biomechanics and mechanobiology in health and disease. Traction force microscopy remains one of the most broadly applied force probing technologies but typically restricts itself to slow events over seconds and micron-scale displacements. Here, we improve >2-fold spatially and >10-fold temporally the resolution of planar cellular force probing compared to its related conventional modalities by combining fast two-dimensional total internal reflection fluorescence super-resolution structured illumination microscopy and traction force microscopy. This live-cell 2D TIRF-SIM-TFM methodology offers a combination of spatio-temporal resolution enhancement relevant to forces on the nano- and sub-second scales, opening up new aspects of mechanobiology to analysis.

scholarly journals A novel workflow for three-dimensional analysis of tumour cell migration

2020 ◽  
Vol 10 (2) ◽  
pp. 20190070 ◽  
Author(s):  
Sophie Ketchen ◽  
Arndt Rohwedder ◽  
Sabine Knipp ◽  
Filomena Esteves ◽  
Nina Struve ◽  
...  
Keyword(s):  
Dimensional Analysis ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Tumour Spheroid ◽  
3D Data ◽  
Biological Studies ◽  
Research Findings ◽  
Imagej Plugin

The limitations of two-dimensional analysis in three-dimensional (3D) cellular imaging impair the accuracy of research findings in biological studies. Here, we report a novel 3D approach to acquisition, analysis and interpretation of tumour spheroid images. Our research interest in mesenchymal–amoeboid transition led to the development of a workflow incorporating the generation and analysis of 3D data with instant structured illumination microscopy and a new ImageJ plugin.

scholarly journals Improvement of two-dimensional structured illumination microscopy with an incoherent illumination pattern of tunable frequency

2018 ◽  
Vol 57 (7) ◽  
pp. B92 ◽  
Author(s):  
Hasti Shabani ◽  
Ana Doblas ◽  
Genaro Saavedra ◽  
Emilio Sanchez-Ortiga ◽  
Chrysanthe Preza
Keyword(s):  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Tunable Frequency

scholarly journals THE WAVELET-BASED DENOISING OF IMAGES IN FIJI, WITH EXAMPLE APPLICATIONS IN STRUCTURED ILLUMINATION MICROSCOPY

2021 ◽  
Author(s):  
Martin Čapek ◽  
Michaela Blažíková ◽  
Ivan Novotný ◽  
Helena Chmelová ◽  
David Svoboda ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Wavelet Transform ◽  
Software Package ◽  
Image Resolution ◽  
Discrete Wavelet ◽  
Microscopic Image ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
3D Images ◽  
Wavelet Filters

Filtration of super-resolved microscopic images brings often troubles with removing undesired image parts like, e.g., noise, inhomogenous background and reconstruction artifacts. Standard filtration techniques, e.g., convolution- or Fourier transform-based methods are not always appropriate, since they may lower image resolution that was acquired by hi-tech and expensive microscopy systems. Thus, in this article it is proposed to filter such images using discrete wavelet transform (DWT). Newly developed Wavelet_Denoise plugin for free available Fiji software package demonstrates important possibilities of applying DWT to images: Decomposition of a filtered picture using various wavelet filters and levels of details with showing decomposed images and visualization of effects of back transformation of the picture with chosen level of suppression or denoising of wavelet coefficients. The Fiji framework allows, for example, using a plethora of various microscopic image formats for data opening, users can easily install the plugin through a menu command and the plugin supports processing 3D images in Z-stacks. The application of the plugin for removal of reconstruction artifacts and undesirable background in images acquired by super-resolved structured illumination microscopy is demonstrated as well.

scholarly journals Fast and robust phase-shift estimation in two-dimensional structured illumination microscopy

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221254
Author(s):  
Jorge Sola-Pikabea ◽  
Arcadi Garcia-Rius ◽  
Genaro Saavedra ◽  
Jorge Garcia-Sucerquia ◽  
Manuel Martínez-Corral ◽  
...  
Keyword(s):  
Phase Shift ◽  
Two Dimensional ◽  
Structured Illumination ◽  
Structured Illumination Microscopy

Comparison of Calculated and Recorded Electron Energy-Loss Spectra of Aluminium and Carbon

1990 ◽  
Vol 48 (2) ◽  
pp. 64-65
Author(s):  
L. Reimer ◽  
R. Oelgeklaus
Keyword(s):  
Fourier Transform ◽  
Energy Loss ◽  
Electron Energy ◽  
Rotational Symmetry ◽  
Mean Free Path ◽  
Single Scattering ◽  
Specimen Thickness ◽  
Two Dimensional ◽  
Image Position ◽  
Electron Energy Loss

Quantitative electron energy-loss spectroscopy (EELS) needs a correction for the limited collection aperture α and a deconvolution of recorded spectra for eliminating the influence of multiple inelastic scattering. Reversely, it is of interest to calculate the influence of multiple scattering on EELS. The distribution f(w,θ,z) of scattered electrons as a function of energy loss w, scattering angle θ and reduced specimen thickness z=t/Λ (Λ=total mean-free-path) can either be recorded by angular-resolved EELS or calculated by a convolution of a normalized single-scattering function ϕ(w,θ). For rotational symmetry in angle (amorphous or polycrystalline specimens) this can be realised by the following sequence of operations :(1)where the two-dimensional distribution in angle is reduced to a one-dimensional function by a projection P, T is a two-dimensional Fourier transform in angle θ and energy loss w and the exponent -1 indicates a deprojection and inverse Fourier transform, respectively.

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