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. 2018 Sep 6;9(10):4649–4664. doi: 10.1364/BOE.9.004649

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Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

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Fig. 7 — Results from imaging adipose cells of human breast tissue using four images with a 2×2 square shift pattern, showing (a) raw single acquired LR image, (b) reconstruction by Gaussian smoothing on a single LR image, (c) reconstruction by DT algorithm on a single LR image, (d) reconstruction by DT algorithm on the average of 4 images, (e) reconstruction using the proposed SR method and (f) un-cropped images of single LR frame and SR image reconstructed using the proposed method, with field of view of 350 µm. For (a)–(e), images are cropped to 233×233 pixels for better visualization. Zoomed insets (3.1X magnification) correspond to a small area containing adjacent nuclei on the borders of adipose cells.(g) Plot of pixel intensity along a line shown in the insets. Image contrast is calculated at *peak-1 and **peak-2. The scale bar is 10 µm.