ArticleDisease models & mechanisms2019
Deep learning enables automated volumetric assessments of cardiac function in zebrafish.
Article in Disease models & mechanisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed, 35 citations in OpenAlex.
- ZeCardioAI: combining zebrafish, AI, and xAI for an in-depth cardiac phenotyping platform.Briefings in bioinformatics · 2026Article
- RBPMS2 Is a Myocardial-Enriched Splicing Regulator Required for Cardiac Function.Circulation research · 2022Article
- Intrinsic myocardial defects underlie an Rbfox-deficient zebrafish model of hypoplastic left heart syndrome.Nature communications · 2022Article
- Using DeepLabCut as a Real-Time and Markerless Tool for Cardiac Physiology Assessment in Zebrafish.Biology · 2022Article
- Simultaneous imaging of calcium and contraction in the beating heart of zebrafish larvae.Theranostics · 2022Article
- Zebrafish Embryos and Larvae as Alternative Animal Models for Toxicity Testing.International journal of molecular sciences · 2021Review
- Deep learning is widely applicable to phenotyping embryonic development and disease.Development (Cambridge, England) · 2021Article
- Zebrafish disease models in drug discovery: from preclinical modelling to clinical trials.Nature reviews. Drug discovery · 2021Review
- Deep learning-based framework for cardiac function assessment in embryonic zebrafish from heart beating videos.Computers in biology and medicine · 2021Article
- Celebrating FocalPlane and microscopy in Disease Models & Mechanisms.Disease models & mechanisms · 2021Article
- A hybrid of light-field and light-sheet imaging to study myocardial function and intracardiac blood flow during zebrafish development.PLoS computational biology · 2021Article
- Review
- Mending a broken heart:Disease models & mechanisms · 2021Review
- Automatic Segmentation and Cardiac Mechanics Analysis of Evolving Zebrafish Using Deep Learning.Frontiers in cardiovascular medicine · 2021Article
- Cardiovascular Performance Measurement in Water Fleas by Utilizing High-Speed Videography and ImageJ Software and Its Application for Pesticide Toxicity Assessment.Animals : an open access journal from MDPI · 2020Article
- An Overview of Methods for Cardiac Rhythm Detection in Zebrafish.Biomedicines · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Although the zebrafish embryo is a powerful animal model of human heart failure, the methods routinely employed to monitor cardiac function produce rough approximations that are susceptible to bias and inaccuracies. We developed and validated a deep learning-based image-analysis platform for automated extraction of volumetric parameters of cardiac function from dynamic light-sheet fluorescence microscopy (LSFM) images of embryonic zebrafish hearts. This platform, the Cardiac Functional Imaging Network (CFIN), automatically delivers rapid and accurate assessments of cardiac performance with greater sensitivity than current approaches.This article has an associated First Person interview with the first author of the paper.
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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.