ArticleScientific reports2019
MeshMonk: Open-source large-scale intensive 3D phenotyping.
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 79 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Do morphometric data improve phylogenetic reconstruction? A systematic review and assessment.BMC ecology and evolution · 2024Pooled it
- Advancement in Human Face Prediction Using DNA.Genes · 2023Pooled it
- Three-dimensional facial gestalt analysis for three neurodevelopmental disorders: Koolen-de Vries, Jansen-de Vries and KBG syndrome.European journal of human genetics : EJHG · 2026Article
- Morphological variations and differences of the mandible and midfacial skeleton across different sagittal skeletal patterns and sexes: a three-dimensional geometric morphometric analysis.Progress in orthodontics · 2026Article
- Effect of palatal shape on dental arch relationships in unilateral cleft lip, alveolus, and palate.Clinical oral investigations · 2026Article
- Measuring sexual dimorphism in human faces.Journal of anatomy · 2026Article
- Clusters in craniofacial microsomia and microtia according to facial morphology and craniofacial anomalies.European journal of pediatrics · 2026Article
- Reply to "Comment on 'De Novo Reconstruction of 3D Human Facial Images From DNA Sequence'".Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- How Sex Shapes Facial Morphology in Adults: A 3D Geometric Morphometric Study.Diagnostics (Basel, Switzerland) · 2026Article
- [Method of constructing 3D facial smile simulation sequence data based on non-rigid registration].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Comment on "De Novo Reconstruction of 3D Human Facial Images from DNA Sequence".Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advancing genotype-phenotype analysis through 3D facial morphometry: insights from Cri-du-Chat syndrome.Journal of medical genetics · 2026Article
- The craniofacial shape of modern humans embodies genomic signatures of evolution, diversity, and clinical conditions.bioRxiv : the preprint server for biology · 2026Article
- [Three-dimensional morphological analysis of posed smile].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction.Nature communications · 2025Article
- Nasolabial shape and aesthetics in patients with cleft lip and palate: analysis of 3D facial images.European journal of orthodontics · 2025Article
- 3D facial imaging: a novel approach for metabolic abnormalities risk profiling.Science China. Life sciences · 2025Article
- Exploring the association between SNPs and facial morphology in a Spanish population.Scientific reports · 2025Article
- Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS.Communications biology · 2025Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dense surface registration, commonly used in computer science, could aid the biological sciences in accurate and comprehensive quantification of biological phenotypes. However, few toolboxes exist that are openly available, non-expert friendly, and validated in a way relevant to biologists. Here, we report a customizable toolbox for reproducible high-throughput dense phenotyping of 3D images, specifically geared towards biological use. Given a target image, a template is first oriented, repositioned, and scaled to the target during a scaled rigid registration step, then transformed further to fit the specific shape of the target using a non-rigid transformation. As validation, we use n = 41 3D facial images to demonstrate that the MeshMonk registration is accurate, with 1.26 mm average error, across 19 landmarks, between placements from manual observers and using the MeshMonk toolbox. We also report no variation in landmark position or centroid size significantly attributable to landmarking method used. Though validated using 19 landmarks, the MeshMonk toolbox produces a dense mesh of vertices across the entire surface, thus facilitating more comprehensive investigations of 3D shape variation. This expansion opens up exciting avenues of study in assessing biological shapes to better understand their phenotypic variation, genetic and developmental underpinnings, and evolutionary history.
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Registered trials
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.