ArticleBiology2022
Using DeepLabCut as a Real-Time and Markerless Tool for Cardiac Physiology Assessment in Zebrafish.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- A quantitative coordinate system for developmental dynamics.bioRxiv : the preprint server for biology · 2026Article
- A narrative review of behavioral tests across mammalian models in neuroscience.Behavioral and brain functions : BBF · 2026Review
- ZeCardioAI: combining zebrafish, AI, and xAI for an in-depth cardiac phenotyping platform.Briefings in bioinformatics · 2026Article
- Exploring universal segmentation models for automatic quantification of cardiac functional parameters from zebrafish heartbeat videos.Medical & biological engineering & computing · 2026Article
- Dog facial landmarks detection and its applications for facial analysis.Scientific reports · 2025Article
- Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.EClinicalMedicine · 2024Article
- Accurate prediction of neurologic changes in critically ill infants using pose AI.medRxiv : the preprint server for health sciences · 2024Article
- Uncovering developmental time and tempo using deep learning.Nature methods · 2023Article
- Shared science's time to shine.Lab animal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
DeepLabCut (DLC) is a deep learning-based tool initially invented for markerless pose estimation in mammals. In this study, we explored the possibility of adopting this tool for conducting markerless cardiac physiology assessment in an important aquatic toxicology model of zebrafish (
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.