Diffraction phase microscopy: retrieving phase contours on living cells with a wavelet-based space-scale analysis

Abstract

Abstract. We propose a two-dimensional (2-D) space-scale analysis of fringe patterns collected from a diffraction phase microscope based on the 2-D Morlet wavelet transform. We show that the adaptation of a ridge detection method with anisotropic 2-D Morlet mother wavelets is more efficient for analyzing cellular and high refractive index contrast objects than Fourier filtering methods since it can separate phase from intensity modulations. We compare the performance of this ridge detection method on theoretical and experimental images of polymer microbeads and experimental images collected from living myoblasts. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Structured illumination microscopy

“…(23) using any of the standard integral operator methods, such as Fourier and Hilbert transforms, using the wavelet-based space-scale analysis method [165], or using a derivative method [166], which is computationally less intensive compared to the above integraloperator-based techniques. The derivative method performs the phase reconstruction under the assumption that the background intensity and the modulation factor do not change over the interferogram and the phase is a slowly varying function along the direction of the periodicity of the grating.…”

A minimal rupture cascade model for living cell plasticity

“…A.3. CSK structure alterations in transduced adherent cells revealed by confocal fluorescence microscopy To investigate the structural transformation of the actin CSK consecutive to BCR-ABL transduction, we performed two different types of microscopy studies: (i) confocal microscopy [45,70] on fixed TF1 and TF1-BCR-ABL cells where both F-actin and the nucleus were stained (figure 3), and (ii) quantitative phase microscopy [71][72][73] from which an important disorganization of the internal cell compartments was put into light by enhanced optical phase gradients. In BCR-ABL-transduced TF1 cells, juxtanuclear actin aggregates were found in almost 30% of the cells in addition to the cortical F-actin staining [45] ( figure 3(b)).…”

“…As far as 1D signals are concerned, the CWT was applied to AFM force curves collected from single living plant cells [39], living hematopoietic stem cells [36,45] and to AFM fluctuation signals to characterize the passive microrheology of living myoblasts [108]. The 1D CWT was also generalized to 2D (and to 3D) CWT [79,83,84,96] and it proved again its versatility and power for analyzing AFM topographic images of biosensors [109], fluorescence microscopy images of chromosome territories [98] and diffraction phase microscopy of living cells [71][72][73].…”

DNA Breathers and Cell Dynamics

“…Study of nonlinear dynamics of cell and cytoskeleton structures, objectification of cytological diagnosis of cancer (morphometry) were conducted using the original data of modulation interference microscopy analyzing the time series of phase thickness fluctuations [30][31][32] in the cross-sections of the nucleus, the nucleolus, cytoplasm. The method for the estimation of spatial temporal invariants (in terms of the Hurst scaling exponent) allowed the demonstration of the links of temporal correlations of finite-amplitude phase thickness fluctuation in terms of multi-and monofractality with the states of the normal and cancerous cells [33][34][35]. The MIM data correspond to three types of patterns: cell phase image (Fig.…”