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Figure 2

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Publication: Wu et al., 2021 - Automatic wavelet-based 3D nuclei segmentation and analysis for multicellular embryo quantification
All Figures: Figures for Wu et al., 2021

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Figure 2

Overview of wavelet-based nuclei segmentation method. (A) Import 3D raw image files. (B) After importing 3D images, 2D continuous wavelet transform with appropriate wavelet scale factors are applying to each 2D z-stack. (C) 2D segmentation masks are obtained by applying multi-scale object identification to wavelet coefficient maps from previous step. (D) In 3D object alignment step, connected identified 2D masks from neighboring slices forms a 3D foreground object. (E) First division step if more than one center or center shift on neighboring z slice wavelet coefficient maps. (F) Second division step in z direction if multiple centers found on yz or xz wavelet coefficient maps. (G) Delete 3D nuclei voxels smaller then nuclei size × 0.2.

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