Poster + Paper
20 May 2022 Autofocus in quantitative phase imaging
Author Affiliations +
Conference Poster
Abstract
A quantitative phase image is often obtained by refocussing or by an iterative algorithm containing refocussing steps. The required propagation distance is judged by a manual search. Autofocus algorithms attempt to estimate this propagation distance. In this paper, we report novel approaches to autofocus for quantitative phase images using neural networks.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yannuo Wen, Yue Wang, and John J. Healy "Autofocus in quantitative phase imaging", Proc. SPIE 12136, Unconventional Optical Imaging III, 1213612 (20 May 2022); https://doi.org/10.1117/12.2621357
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KEYWORDS
Digital holography

Holograms

Digital imaging

Diffraction

3D image reconstruction

Image processing algorithms and systems

Holography

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