Evidence map›Paper›PMID 31624273›Full record

ArticleScientific reports2019

An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format.

Markéta Tesařová, Eglantine Heude, Glenda Comai, Tomáš Zikmund, Markéta Kaucká, Igor Adameyko, Shahragim Tajbakhsh, Jozef Kaiser

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Markéta TesařováCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-5200-7365
Eglantine HeudeDepartment Adaptation du Vivant, Museum national d'Histoire naturelle, CNRS UMR 7221, Paris, France.ORCID http://orcid.org/0000-0003-0563-9607
Glenda ComaiDepartment of Developmental and Stem Cell Biology, Stem Cells and Development Unit, Institut Pasteur, Paris, France.ORCID http://orcid.org/0000-0003-3244-3378
Tomáš ZikmundCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic.ORCID http://orcid.org/0000-0003-2948-5198
Markéta KauckáDepartment of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0002-8781-9769
Igor AdameykoDepartment of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden.
Shahragim TajbakhshDepartment of Developmental and Stem Cell Biology, Stem Cells and Development Unit, Institut Pasteur, Paris, France.ORCID http://orcid.org/0000-0003-1809-7202
Jozef KaiserCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic. kaiser@fme.vutbr.cz.ORCID https://orcid.org/0000-0002-7397-125X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D imaging approaches based on X-ray microcomputed tomography (microCT) have become increasingly accessible with advancements in methods, instruments and expertise. The synergy of material and life sciences has impacted biomedical research by proposing new tools for investigation. However, data sharing remains challenging as microCT files are usually in the range of gigabytes and require specific and expensive software for rendering and interpretation. Here, we provide an advanced method for visualisation and interpretation of microCT data with small file formats, readable on all operating systems, using freely available Portable Document Format (PDF) software. Our method is based on the conversion of volumetric data into interactive 3D PDF, allowing rotation, movement, magnification and setting modifications of objects, thus providing an intuitive approach to analyse structures in a 3D context. We describe the complete pipeline from data acquisition, data processing and compression, to 3D PDF formatting on an example of craniofacial anatomical morphology in the mouse embryo. Our procedure is widely applicable in biological research and can be used as a framework to analyse volumetric data from any research field relying on 3D rendering and CT-biomedical imaging.

Indexed as

SoftwareAnimalsData CompressionElectronic Data ProcessingFacial BonesImaging, Three-DimensionalInformation DisseminationMiceModels, AnatomicRadiographic Image Interpretation, Computer-AssistedSkullX-Ray Microtomography

Identifiers

PMID31624273
PMCPMC6797759

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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.