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DeepBessel: deep learning-based full-field vibration profilometry using single-shot time-averaged interference microscopy.

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Title: DeepBessel: deep learning-based full-field vibration profilometry using single-shot time-averaged interference microscopy.
Authors: Cywińska, Maria1 (AUTHOR) maria.cywinska@pw.edu.pl, Forjasz, Wiktor1 (AUTHOR), Wdowiak, Emilia1 (AUTHOR), Józwik, Michał1 (AUTHOR), Styk, Adam1 (AUTHOR), Patorski, Krzysztof1 (AUTHOR), Trusiak, Maciej1 (AUTHOR)
Source: Optics & Lasers in Engineering. Apr2026, Vol. 199, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
FullText Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 190796111
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Optics+%26+Lasers+in+Engineering%22">Optics & Lasers in Engineering</searchLink>. Apr2026, Vol. 199, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190796111
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.optlaseng.2025.109588
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: DeepBessel: deep learning-based full-field vibration profilometry using single-shot time-averaged interference microscopy.
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            NameFull: Cywińska, Maria
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            NameFull: Forjasz, Wiktor
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            NameFull: Wdowiak, Emilia
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            NameFull: Józwik, Michał
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            NameFull: Styk, Adam
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            NameFull: Patorski, Krzysztof
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 199
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            – TitleFull: Optics & Lasers in Engineering
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