Evidence map›Paper›PMID 34188847›Full record

ArticleEcology and evolution2021

Underwater photogrammetry for close-range 3D imaging of dry-sensitive objects: The case study of cephalopod beaks.

Marjorie Roscian, Anthony Herrel, Raphaël Cornette, Arnaud Delapré, Yves Cherel, Isabelle Rouget

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Marjorie RoscianCentre de Recherche en Paléontologie-Paris (CR2P) Muséum National d'Histoire Naturelle CNRS Sorbonne Université Paris France.ORCID https://orcid.org/0000-0002-4290-082X
Anthony HerrelMécanismes Adaptatifs et Evolution (Mecadev) Muséum National d'Histoire Naturelle CNRS Bâtiment d'Anatomie Comparée Paris France.
Raphaël CornetteInstitut de Systématique, Évolution, Biodiversité (ISYEB) Muséum national d'Histoire naturelle CNRS Sorbonne Université EPHE Université des Antilles Paris France.
Arnaud DelapréInstitut de Systématique, Évolution, Biodiversité (ISYEB) Muséum national d'Histoire naturelle CNRS Sorbonne Université EPHE Université des Antilles Paris France.
Yves CherelCentre d'Etudes Biologiques de Chizé UMR7372 CNRS-La Rochelle Université Villiers-en-Bois France.ORCID https://orcid.org/0000-0001-9469-9489
Isabelle RougetCentre de Recherche en Paléontologie-Paris (CR2P) Muséum National d'Histoire Naturelle CNRS Sorbonne Université Paris France.ORCID https://orcid.org/0000-0002-9673-0416
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technical advances in 3D imaging have contributed to quantifying and understanding biological variability and complexity. However, small, dry-sensitive objects are not easy to reconstruct using common and easily available techniques such as photogrammetry, surface scanning, or micro-CT scanning. Here, we use cephalopod beaks as an example as their size, thickness, transparency, and dry-sensitive nature make them particularly challenging. We developed a new, underwater, photogrammetry protocol in order to add these types of biological structures to the panel of photogrammetric possibilities.We used a camera with a macrophotography mode in a waterproof housing fixed in a tank with clear water. The beak was painted and fixed on a colored rotating support. Three angles of view, two acquisitions, and around 300 pictures per specimen were taken in order to reconstruct a full 3D model. These models were compared with others obtained with micro-CT scanning to verify their accuracy.The models can be obtained quickly and cheaply compared with micro-CT scanning and have sufficient precision for quantitative interspecific morphological analyses. Our work shows that underwater photogrammetry is a fast, noninvasive, efficient, and accurate way to reconstruct 3D models of dry-sensitive objects while conserving their shape. While the reconstruction of the shape is accurate, some internal parts cannot be reconstructed with photogrammetry as they are not visible. In contrast, these structures are visible using reconstructions based on micro-CT scanning. The mean difference between both methods is very small (10

Indexed as

3D modelscephalopod beaksdry‐sensitive materialmicro‐CT scanningmicro‐photogrammetryunderwater photogrammetry

Identifiers

PMID34188847
PMCPMC8216959
OpenAlexW3157971571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.