ArticleScientific reports2023
Zebrafish Larvae Position Tracker (Z-LaP Tracker): a high-throughput deep-learning behavioral approach for the identification of calcineurin pathway-modulating drugs using zebrafish larvae.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of artificial intelligence use in behavioral analysis of invertebrate and larval model organisms: methods, applications and future recommendations.Frontiers in artificial intelligence · 2026Pooled it
- Brewing Anxiety: Caffeine-Induced Thigmotaxis in Zebrafish Larvae.Brain and behavior · 2026Article
- LaZeTrack: An open-source object detection algorithm to detect and track 2-day-old zebrafish motor touch responses.Quantitative biology (Beijing, China) · 2026Article
- Article
- Decoding fetal motion in 4D ultrasound with DeepLabCut.Journal of medical ultrasonics (2001) · 2026Article
- Comparative evaluation of MPTP and rotenone as inducing agents for Parkinson's disease in adult zebrafish: Behavioural and histopathological insights.Toxicology reports · 2025Article
- Article
- Target the Heart: A New Axis of Alzheimer's Disease Prevention.Journal of dementia and alzheimer's disease · 2025Article
- Zebrafish as a model for assessing biocide toxicity: A comprehensive review.Toxicology reports · 2025Review
- Machine learning enables high-throughput, low-replicate screening for novel anti-seizure targets and compounds using combined movement and calcium fluorescence in larval zebrafish.European journal of pharmacology · 2025Article
- Marigold: a machine learning-based web app for zebrafish pose tracking.BMC bioinformatics · 2025Article
- Combining supervised and unsupervised analyses to quantify behavioral phenotypes and validate therapeutic efficacy in a triple transgenic mouse model of Alzheimer's disease.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2024Article
- Combining supervised and unsupervised analyses to quantify behavioral phenotypes and validate therapeutic efficacy in a triple transgenic mouse model of Alzheimer's disease.bioRxiv : the preprint server for biology · 2024Article
- Behavioral Studies of Zebrafish Reveal a New Perspective on the Reproductive Toxicity of Micro- and Nanoplastics.Toxics · 2024Review
- Drug repurposing for neurodegenerative diseases using Zebrafish behavioral profiles.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2024Article
- Behavioral effects of visual stimuli in adult zebrafish using a novel eight-tank imaging system.Frontiers in behavioral neuroscience · 2024Article
- Diving deep: zebrafish models in motor neuron degeneration research.Frontiers in neuroscience · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Brain function studies greatly depend on quantification and analysis of behavior. While behavior can be imaged efficiently, the quantification of specific aspects of behavior is labor-intensive and may introduce individual biases. Recent advances in deep learning and artificial intelligence-based tools have made it possible to precisely track individual features of freely moving animals in diverse environments without any markers. In the current study, we developed Zebrafish Larvae Position Tracker (Z-LaP Tracker), a modification of the markerless position estimation software DeepLabCut, to quantify zebrafish larval behavior in a high-throughput 384-well setting. We utilized the high-contrast features of our model animal, zebrafish larvae, including the eyes and the yolk for our behavioral analysis. Using this experimental setup, we quantified relevant behaviors with similar accuracy to the analysis performed by humans. The changes in behavior were organized in behavioral profiles, which were examined by K-means and hierarchical cluster analysis. Calcineurin inhibitors exhibited a distinct behavioral profile characterized by increased activity, acoustic hyperexcitability, reduced visually guided behaviors, and reduced habituation to acoustic stimuli. The developed methodologies were used to identify 'CsA-type' drugs that might be promising candidates for the prevention and treatment of neurological disorders.
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.