Published July 2022 | Version Published
Journal Article Open

Analysis of postreconstruction digital refocusing in Fourier ptychographic microscopy

  • 1. ROR icon California Institute of Technology

Abstract

Digital refocusing is a key feature of Fourier ptychographic microscopy (FPM). It is currently performed by determining and removing the defocus aberration during the iterative phase retrieval process. We examine the feasibility of digitally refocusing an FPM image by numerically propagating the recovered complex FPM image after the phase retrieval process has been completed – in effect, disentangling the defocus correction process from the iterative phase retrieval process. If feasible, this type of postreconstruction digital refocusing can significantly reduce the FPM computational load and provide a quick and efficient way for refocusing microscopy images on the fly. We report that such an approach is infeasible for large defocus distances because the raw FPM dataset associated with a defocused sample is illconditioned for the FPM's phase-retrieval process, and it will not output a complex-valued image that corresponds to any physically relevant image wavefront. When the defocus distance is small, the FPM can output an approximately correct image wavefront. However, this wavefront does not contain a global defocus phase term and, therefore, cannot be further focused using the digital refocusing application of a reverse global phase term. In totality, this means that postreconstruction digital refocusing does not serve a meaningful function for any defocus distance. To verify our analysis, we performed a series of experiments, and the results showed that the postreconstruction digital refocusing method is not a viable digital refocusing method.

Additional Information

© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. Received: 24 March 2022; Accepted: 22 June 2022; Published: 9 July 2022. Research reported in this publication was supported by the Heritage Research Institute for the Advancement of Medicine and Science at Caltech (Grant No. HMRI-15-09-01) and the National Cancer Institute of the National Institutes of Health (Grant No. NIH U01CA233363). The authors declare no conflicts of interests.

Attached Files

Published - 073102_1.pdf

Files

073102_1.pdf

Files (8.7 MB)

Name Size Download all
md5:19e88820808affb81772631b75fbd27c
8.7 MB Preview Download

Additional details

Identifiers

Eprint ID
115499
Resolver ID
CaltechAUTHORS:20220712-143800000

Related works

Funding

Heritage Medical Research Institute
HMRI-15-09-01
NIH
U01CA233363

Dates

Created
2022-07-13
Created from EPrint's datestamp field
Updated
2022-07-13
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Heritage Medical Research Institute