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@ARTICLE{Dora:607320,
author = {Dora, Johannes and Möddel, Martin and Flenner, Silja and
Reimers, Jan and Zeller-Plumhoff, Berit and Schroer,
Christian and Knopp, Tobias and Hagemann, Johannes},
title = {{M}odel-based autofocus for near-field phase retrieval},
journal = {Optics express},
volume = {33},
number = {4},
issn = {1094-4087},
address = {Washington, DC},
publisher = {Optica},
reportid = {PUBDB-2024-01831},
pages = {6641 - 6657},
year = {2025},
abstract = {The phase problem is a well known ill-posed reconstruction
problem of coherent lens-less microscopic imaging, where
only the intensities of a complex wave-field are measured by
the detector and the phase information is lost. For the
reconstruction of sharp images from holograms in a
near-field experimental setting, it is crucial to solve the
autofocus problem, i.e., to precisely estimate the Fresnel
number of the forward model. Otherwise, blurred out-of focus
images that also can contain artifacts are the result. In
general, a simple distance measurement at the experiment is
not sufficiently accurate, thus the fine-tuning of the
Fresnel number has to be done prior to the actual
reconstructions. This can be done manually or automatically
by an estimation algorithm. To automatize the process, as
needed, e.g., for in-situ/operando experiments, different
focus criteria have been widely studied in literature but
are subjected to certain restrictions. The methods often
rely on image analysis of the reconstructed image, making
them sensitive to image noise and also neglecting
algorithmic properties of the applied phase retrieval. In
this paper, we propose a novel criterion, based on a
model-matching approach, which improves autofocusing by also
taking the underlying reconstruction algorithm, the forward
model and the measured hologram into account. We derive a
common autofocusing framework, based on a recent
phase-retrieval approach and a downhill-simplex method for
the automatic optimization of the Fresnel number. We further
demonstrate the robustness of the framework on different
data sets obtained at the nano imaging endstation of P05 at
PETRA III (DESY, Hamburg) operated by Helmholtz-Zentrum
Hereon.},
cin = {FS-PETRA / Hereon},
ddc = {530},
cid = {I:(DE-H253)FS-PETRA-20140814 / I:(DE-H253)Hereon-20210428},
pnm = {623 - Data Management and Analysis (POF4-623) / 6G3 - PETRA
III (DESY) (POF4-6G3) / HIDSS-0002 - DASHH: Data Science in
Hamburg - Helmholtz Graduate School for the Structure of
Matter $(2019_IVF-HIDSS-0002)$ / SFB 986 Z02 - Multiskalige
Analyse von Strukturen und Prozessen mit
Synchrotronstrahlung und Neutronen (Z02) (221133217) / DFG
project G:(GEPRIS)192346071 - SFB 986: Maßgeschneiderte
Multiskalige Materialsysteme - M3 (192346071)},
pid = {G:(DE-HGF)POF4-623 / G:(DE-HGF)POF4-6G3 /
$G:(DE-HGF)2019_IVF-HIDSS-0002$ / G:(GEPRIS)221133217 /
G:(GEPRIS)192346071},
experiment = {EXP:(DE-H253)P-P05-20150101},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001437185600001},
doi = {10.1364/OE.544573},
url = {https://bib-pubdb1.desy.de/record/607320},
}