Evidence map›Paper›PMID 36733760›Full record

ArticleBiomedical optics express2022

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

Piotr Stępień, Michał Ziemczonok, Małgorzata Kujawińska, Maria Baczewska, Luca Valenti, Alessandro Cherubini, Elia Casirati, Wojciech Krauze

Abstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Piotr StępieńWarsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.ORCID https://orcid.org/0000-0002-7604-4953
Michał ZiemczonokWarsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.ORCID https://orcid.org/0000-0002-4802-1105
Małgorzata KujawińskaWarsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.ORCID https://orcid.org/0000-0001-6521-6951
Maria BaczewskaWarsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.ORCID https://orcid.org/0000-0003-3945-3114
Luca ValentiUniversità degli Studi di Milano, Department of Pathophysiology and Transplantation, Milan, Italy.
Alessandro CherubiniFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Transfusion Medicine and Hematology, Milan, Italy.
Elia CasiratiUniversità degli Studi di Milano, Department of Pathophysiology and Transplantation, Milan, Italy.
Wojciech KrauzeWarsaw University of Technology, Institute of Micromechanics and Photonics, ul. Sw. A. Boboli 8, Warsaw, 02-525, Poland.ORCID https://orcid.org/0000-0002-5248-3986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID36733760
PMCPMC9872904

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.