Evidence map›Paper›PMID 40767438›Full record

ArticleBiology open2025

SlicerMorph photogrammetry: an open-source photogrammetry workflow for reconstructing 3D models.

Oshane O Thomas, Chi Zhang, A Murat Maga

Abstract read
In one paragraph

Article in Biology open, 2025. 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. Article
  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

3 authors.

Oshane O ThomasCenter for Development Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, 98101, United States of America.
Chi ZhangDepartment of Biomedical Sciences, Texas A&M University College of Dentistry, Dallas, Texas, 98101, USA.
A Murat MagaCenter for Development Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, 98101, United States of America.ORCID 0000-0002-7921-9018

Funding

High-resolution ex vivo microCT for biomedical imagingS10OD032302 · OD · SEATTLE CHILDREN'S HOSPITAL · PI MAGA, ALI MURAT · 2022 to 2022
$413k
Directorate for Biological Sciences 2301405National Science Foundation 2118240National Science Foundation BIO180006National Science Foundation OAC/2118240NIH HHS S10 OD032302Seattle Children's Research Institute, Texas A&M University, University of Washington School of Medicine
6 · The paper itself

Abstract

High-fidelity three-dimensional (3D) models of skeletal specimens underpin many ecological and evolutionary analyses. Here we present a fully open pipeline inside the 3D Slicer platform that couples automatic image masking by the Segment Anything Model (SAM) with surface reconstruction by the OpenDroneMap (NodeODM) engine, all wrapped in a user-friendly extension. To test accuracy, we photographed 14 mountain-beaver skulls, reconstructed 3D models with the new pipeline and with our previous workflow and compared each model to its micro-CT reference using mean surface distance, root mean square error (RMSE), Hausdorff, and Chamfer metrics. Our improved pipeline that integrates masking to the model reconstructed lowered mean distance and RMSE by 10-15% across specimens and reduced visible artefacts around thin elements such as zygomatic arches; Hausdorff distance changed little, indicating that gains were global rather than confined to outliers. Our new extension provides a convenient workflow that integrates masking, scaling, and reconstruction under one interface.

Indexed as

Image Processing, Computer-AssistedImaging, Three-DimensionalPhotogrammetrySkullAnimalsSoftwareWorkflow3D morphometricsOpenDroneMapPhotogrammetry

Identifiers

PMID40767438
PMCPMC12421799

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.