Hidden projection tomography via phase retrieval algorithm

Daniele Ancora; Diego Di Battista; Asier Marcos Vidal; Stella Avtzi; Giannis Zacharakis; Andrea Bassi

doi:10.1117/12.2582996

5 March 2021 Hidden projection tomography via phase retrieval algorithm

Daniele Ancora, Diego Di Battista, Asier Marcos Vidal, Stella Avtzi, Giannis Zacharakis, Andrea Bassi

Proceedings Volume 11653, Quantitative Phase Imaging VII; 116530P (2021) https://doi.org/10.1117/12.2582996
Event: SPIE BiOS, 2021, Online Only

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.

Conference Presentation

Citation Download Citation

Daniele Ancora, Diego Di Battista, Asier Marcos Vidal, Stella Avtzi, Giannis Zacharakis, and Andrea Bassi "Hidden projection tomography via phase retrieval algorithm", Proc. SPIE 11653, Quantitative Phase Imaging VII, 116530P (5 March 2021); https://doi.org/10.1117/12.2582996

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