Show simple item record

dc.contributor.authorKaritans, Varis
dc.contributor.authorOzolinsh, Maris
dc.contributor.authorFomins, Sergejs
dc.date.accessioned2025-01-16T17:22:59Z
dc.date.available2025-01-16T17:22:59Z
dc.date.issued2024
dc.identifier.issn2673-3269
dc.identifier.urihttps://www.mdpi.com/2673-3269/5/4/38
dc.identifier.urihttps://dspace.lu.lv/dspace/handle/7/67246
dc.descriptionThis research was funded by the University of Latvia Foundation and company MikrtoTik; grant number 2257. Institute of Solid State Physics, University of Latvia as the Center of Excellence has received funding from the European Union's Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART2.en_US
dc.description.abstractIn the current study, we address the phase retrieval of one-dimensional phase objects from near-field diffraction patterns using the multiple-plane Gerchberg–Saxton algorithm, which is still widely used for phase retrieval. The algorithm was implemented in a low-cost digital signal processor capable of fast Fourier transform using Q15 arithmetic, which is used by the previously mentioned algorithm. We demonstrate similarity between one-dimensional phase objects, i.e., vectors cut out of a phase map of the tertiary spherical aberration retrieved by the multiple-plane Gerchberg–Saxton algorithm, and these vectors are measured with a non-contact profiler. The tertiary spherical aberration was induced by a phase plate fabricated using grayscale lithography. After subtracting the vectors retrieved by the algorithm from those measured with the profiler, the root mean square error decreased, while a corresponding increase in the Strehl ratio was observed. A single vector of size 64 pixels was retrieved in about 2 min. The results suggest that digital signal processors that are capable of one-dimensional FFT and fixed-point arithmetic in Q15 format can successfully retrieve the phase of one-dimensional objects, and they can be used for applications that do not require real-time operation, i.e., analyzing the quality of cylindrical micro-optics. © 2024 by the authors. --//-- This is an open-access article Karitans, V.; Ozolinsh, M.; Fomins, S. Phase Retrieval of One-Dimensional Objects by the Multiple-Plane Gerchberg–Saxton Algorithm Implemented into a Digital Signal Processor. Optics 2024, 5, 514-522. https://doi.org/10.3390/opt5040038 published under the CC BY 4.0 licence.en_US
dc.description.sponsorshipLatvijas Universitātes Fonds 2257; European Union's Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART2.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/739508/EU/Centre of Advanced Material Research and Technology Transfer/CAMART²en_US
dc.relation.ispartofseriesOptics;5 (4)
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Physicsen_US
dc.subjectaberrationsen_US
dc.subjectadaptive opticsen_US
dc.subjectdiffractionen_US
dc.subjectphase retrievalen_US
dc.titlePhase Retrieval of One-Dimensional Objects by the Multiple-Plane Gerchberg–Saxton Algorithm Implemented into a Digital Signal Processoren_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.3390/opt5040038


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record