Evidence map›Paper›PMID 34460773›Full record

ArticleJournal of imaging2021

Can Liquid Lenses Increase Depth of Field in Head Mounted Video See-Through Devices?

Marina Carbone, Davide Domeneghetti, Fabrizio Cutolo, Renzo D'Amato, Emanuele Cigna, Paolo Domenico Parchi, Marco Gesi, Luca Morelli, Mauro Ferrari, Vincenzo Ferrari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Marina CarboneDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-1004-6964
Davide DomeneghettiDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.
Fabrizio CutoloDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-6773-3741
Renzo D'AmatoDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.
Emanuele CignaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.
Paolo Domenico ParchiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-7560-7104
Marco GesiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.
Luca MorelliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0002-7742-9556
Mauro FerrariEndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.
Vincenzo FerrariDepartment of Information Engineering, University of Pisa, 56122 Pisa, Italy.ORCID 0000-0001-9294-2828

Funding

Grant Regione Toscana - PORCREO 2014-2020, Italian Ministry of Education and Research UltraVISTAHorizon 2020 Framework Programme 731974
6 · The paper itself

Abstract

Wearable Video See-Through (VST) devices for Augmented Reality (AR) and for obtaining a Magnified View are taking hold in the medical and surgical fields. However, these devices are not yet usable in daily clinical practice, due to focusing problems and a limited depth of field. This study investigates the use of liquid-lens optics to create an autofocus system for wearable VST visors. The autofocus system is based on a Time of Flight (TOF) distance sensor and an active autofocus control system. The integrated autofocus system in the wearable VST viewers showed good potential in terms of providing rapid focus at various distances and a magnified view.

Indexed as

autofocushead mounted displayliquid lensesmagnificationVideo See-Through

Identifiers

PMID34460773
PMCPMC8404927

What OpenQuestion holds

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Registered trials

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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.