ArticleDevelopment (Cambridge, England)2021
LAMA: automated image analysis for the developmental phenotyping of mouse embryos.
Article in Development (Cambridge, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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
13 citing papers in PubMed, 19 citations in OpenAlex.
- In Vivo 4D Oxy-Wavelet MRI as a Non-Invasive Biomarker of Brain Mitochondrial Function across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Timing of NAD Deficiency During Organogenesis Dictates Defect Type and Penetrance.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Cancer classification with radiomics in controlled preclinical models.Scientific reports · 2026Article
- Anatomy-aware, label-informed approach improves image registration for challenging datasets.PloS one · 2026Article
- Deep learning-based detection of murine congenital heart defects from µCT scans.Communications biology · 2025Article
- Atlas of multilineage stem cell differentiation reveals TMEM88 as a developmental regulator of blood pressure.Nature communications · 2025Article
- Beyond genomic studies of congenital heart defects through systematic modelling and phenotyping.Disease models & mechanisms · 2024Article
- Phase contrast micro-CT with adjustable in-slice spatial resolution at constant magnification.Physics in medicine and biology · 2024Article
- Cleft palate and minor metabolic disturbances in a mouse global Arl15 gene knockout.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023Article
- Deep learning enabled multi-organ segmentation of mouse embryos.Biology open · 2023Article
- The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease.Nucleic acids research · 2023Article
- MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses.Scientific data · 2022Article
- Mouse embryo phenotyping using X-ray microCT.Frontiers in cell and developmental biology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
Abstract
Advanced 3D imaging modalities, such as micro-computed tomography (micro-CT), have been incorporated into the high-throughput embryo pipeline of the International Mouse Phenotyping Consortium (IMPC). This project generates large volumes of raw data that cannot be immediately exploited without significant resources of personnel and expertise. Thus, rapid automated annotation is crucial to ensure that 3D imaging data can be integrated with other multi-dimensional phenotyping data. We present an automated computational mouse embryo phenotyping pipeline that harnesses the large amount of wild-type control data available in the IMPC embryo pipeline in order to address issues of low mutant sample number as well as incomplete penetrance and variable expressivity. We also investigate the effect of developmental substage on automated phenotyping results. Designed primarily for developmental biologists, our software performs image pre-processing, registration, statistical analysis and segmentation of embryo images. We also present a novel anatomical E14.5 embryo atlas average and, using it with LAMA, show that we can uncover known and novel dysmorphology from two IMPC knockout lines.
Indexed as
Identifiers
What OpenQuestion holds
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.