Advances in sparse dynamic scanning in spectromicroscopy through compressive sensing.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2023
2023
Historique:
received:
11
04
2023
accepted:
29
09
2023
medline:
13
11
2023
pubmed:
9
11
2023
entrez:
9
11
2023
Statut:
epublish
Résumé
Scanning microscopies and spectroscopies like X-ray Fluorescence (XRF), Scanning Transmission X-ray Microscopy (STXM), and Ptychography are of very high scientific importance as they can be employed in several research fields. Methodology and technology advances aim at analysing larger samples at better resolutions, improved sensitivities and higher acquisition speeds. The frontiers of those advances are in detectors, radiation sources, motors, but also in acquisition and analysis software together with general methodology improvements. We have recently introduced and fully implemented an intelligent scanning methodology based on compressive sensing, on a soft X-ray microscopy beamline. This demonstrated sparse low energy XRF scanning of dynamically chosen regions of interest in combination with STXM, yielding spectroimaging data in the megapixel-range and in shorter timeframes than were previously not feasible. This research has been further developed and has been applied to scientific applications in biology. The developments are mostly in the dynamic triggering decisional mechanism in order to incorporate modern Machine Learning (ML) but also in the suitable integration of the method in the control system, making it available for other beamlines and imaging techniques. On the applications front, the method was previously successfully used on different samples, from lung and ovarian human tissues to plant root sections. This manuscript introduces the latest methodology advances and demonstrates their applications in life and environmental sciences. Lastly, it highlights the auxiliary development of a mobile application, designed to assist the user in the selection of specific regions of interest in an easy way.
Identifiants
pubmed: 37943764
doi: 10.1371/journal.pone.0285057
pii: PONE-D-23-10956
pmc: PMC10635485
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0285057Informations de copyright
Copyright: © 2023 Kourousias et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Plant Physiol. 2015 Apr;167(4):1402-11
pubmed: 25670815
Opt Express. 2016 Dec 26;24(26):30038-30052
pubmed: 28059389
Sci Rep. 2020 Jun 19;10(1):9990
pubmed: 32561797
J Photochem Photobiol B. 2014 Nov;140:276-85
pubmed: 25194526
Int J Mol Sci. 2022 Dec 13;23(24):
pubmed: 36555489
Magn Reson Med. 2013 Aug;70(2):504-16
pubmed: 22899104
Int J Mol Sci. 2023 Feb 10;24(4):
pubmed: 36834956
Front Plant Sci. 2017 Aug 03;8:1377
pubmed: 28824696
Anal Bioanal Chem. 2022 Aug;414(20):6213-6222
pubmed: 35759022
Q Rev Biophys. 1995 Feb;28(1):33-130
pubmed: 7676009
J Synchrotron Radiat. 2016 Nov 1;23(Pt 6):1526-1537
pubmed: 27787260
Analyst. 2021 Sep 27;146(19):5836-5842
pubmed: 34378555
Prog Biophys Mol Biol. 2022 Jan;168:66-80
pubmed: 34153330
Front Plant Sci. 2017 Dec 21;8:2189
pubmed: 29312419
BMC Biomed Eng. 2019 Mar 29;1:8
pubmed: 32903346