The reconstruction of an object hidden behind a scattering curtain is a modern topic in the field of imaging, which has stimulated an active scientific production over the past few years. However, most of the work done in the field was in addressing the reconstruction of a bi-dimensional object. Here, instead, we tackle the reconstruction of a three-dimensional fluorescent sample hidden behind an opaque layer. To do so, we show that the auto-correlation operation well behave in projection tomography, letting us to reconstruct a three-dimensional auto-correlation of the object. By having access to such information, it is possible to implement a phase retrieval algorithm to roll back to the actual reconstruction of the specimen.

Hidden projection tomography via phase retrieval algorithm

Ancora, Daniele;Bassi, Andrea
2021-01-01

Abstract

The reconstruction of an object hidden behind a scattering curtain is a modern topic in the field of imaging, which has stimulated an active scientific production over the past few years. However, most of the work done in the field was in addressing the reconstruction of a bi-dimensional object. Here, instead, we tackle the reconstruction of a three-dimensional fluorescent sample hidden behind an opaque layer. To do so, we show that the auto-correlation operation well behave in projection tomography, letting us to reconstruct a three-dimensional auto-correlation of the object. By having access to such information, it is possible to implement a phase retrieval algorithm to roll back to the actual reconstruction of the specimen.
2021
Proceedings Volume 11653, Quantitative Phase Imaging VII
9781510641419
9781510641426
File in questo prodotto:
File Dimensione Formato  
P3_SPIE_Proceedings___Hidden.pdf

Accesso riservato

Descrizione: Articolo Principale
: Publisher’s version
Dimensione 700.51 kB
Formato Adobe PDF
700.51 kB Adobe PDF   Visualizza/Apri
F3_SPIE_Proceedings___Hidden.pdf

accesso aperto

Descrizione: Articolo Principale
: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 745.03 kB
Formato Adobe PDF
745.03 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1167177
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact