Tomographic quantitative phase imaging (QPI) lacks an absolute refractive index value baseline, which poses a problem when large dense objects extending over multiple fields of view are measured volume by volume and stitched together. Some of the measurements lack the natural baseline value that is provided by the mounting medium with a known refractive index. In this work, we discuss the problem of the refractive index (RI) baseline of individual reconstructed volumes that are deprived of access to mounting medium due to the extent of the object. The solution of this problem is provided by establishing the RI offsets based on the overlapping regions. We have proven that the process of finding the offset RI values may be justifiably reduced to the analogous procedure in the 2D baseline correction (2D-BC). Finally, we proposed the enhancement of the state-of-the-art 2D-BC procedure previously introduced in the context of 2D QPI. The processing is validated at the examples of a synthetic dataset and a liver organoid.

Numerical refractive index correction for the stitching procedure in tomographic quantitative phase imaging / P. Stępień, M. Ziemczonok, M. Kujawińska, M. Baczewska, L. Valenti, A. Cherubini, E. Casirati, W. Krauze. - In: BIOMEDICAL OPTICS EXPRESS. - ISSN 2156-7085. - 13:11(2022 Nov 01), pp. 5709-5720. [10.1364/BOE.466403]

Numerical refractive index correction for the stitching procedure in tomographic quantitative phase imaging

L. Valenti;A. Cherubini;E. Casirati
Penultimo
;
2022

Abstract

Tomographic quantitative phase imaging (QPI) lacks an absolute refractive index value baseline, which poses a problem when large dense objects extending over multiple fields of view are measured volume by volume and stitched together. Some of the measurements lack the natural baseline value that is provided by the mounting medium with a known refractive index. In this work, we discuss the problem of the refractive index (RI) baseline of individual reconstructed volumes that are deprived of access to mounting medium due to the extent of the object. The solution of this problem is provided by establishing the RI offsets based on the overlapping regions. We have proven that the process of finding the offset RI values may be justifiably reduced to the analogous procedure in the 2D baseline correction (2D-BC). Finally, we proposed the enhancement of the state-of-the-art 2D-BC procedure previously introduced in the context of 2D QPI. The processing is validated at the examples of a synthetic dataset and a liver organoid.
Settore MED/09 - Medicina Interna
   Neuronal microscopy for cell behavioural examination and manipulation
   REVEAL
   European Commission
   Horizon 2020 Framework Programme
   101016726
1-nov-2022
https://opg.optica.org/boe/fulltext.cfm?uri=boe-13-11-5709&id=509819
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/975550
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