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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: IEEE Trans Image Process. 2018 Apr;27(4):1847–1861. doi: 10.1109/TIP.2017.2787625

Fig. 13.

Fig. 13

Three example image patches of real cell data were deconvolved using four algorithms and the resulting segmentations (top row) and deconvolutions (row below) are displayed. Segmentations were obtained from deconvolution by global thresholding using Otsu’s method [45]. The proposed PF+RWTV-DF algorithm performs consistently well even in severe interference (defined by the degree of distortion around the edges and surface undulations within the cell).