Title

Refocusing Phase Contrast Microscopy Images

Abstract

Phase contrast microscopy is a very popular non-invasive technique for monitoring live cells. However, its images can be blurred if optics are imperfectly aligned and the visualization on specimen details can be affected by noisy background. We propose an effective algorithm to refocus phase contrast microscopy images from two perspectives: optics and specimens. First, given a defocused image caused by misaligned optics, we estimate the blur kernel based on the sparse prior of dark channel, and non-blindly refocus the image with the hyper-Laplacian prior of image gradients. Then, we further refocus the image contents on specimens by removing the artifacts from the background, which provides a sharp visualization on fine specimen details. The proposed algorithm is both qualitatively and quantitatively evaluated on a dataset of 500 phase contrast microscopy images, showing its superior performance for visualizing specimens and facilitating microscopy image analysis.

Department(s)

Computer Science

Keywords and Phrases

Medical Computing; Visualization; Effective Algorithms; Image Content; Image Gradients; Microscopy Image Analysis; Noninvasive Technique; Phase-Contrast Microscopy; Phase-Contrast Microscopy Images; Sparse Prior; Medical Imaging

International Standard Book Number (ISBN)

9783319661841

International Standard Serial Number (ISSN)

0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2017 Springer Verlag, All rights reserved.

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