AIMC Topic: Oryzias

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Diverse prey capture strategies in teleost larvae.

eLife Jul 8, 2025
Animal behavior is adapted to the sensory environment in which it evolved, while also being constrained by physical limits, evolutionary history, and developmental trajectories. The hunting behavior of larval zebrafish (), a cyprinid native to stream...
Animals Larva Zebrafish Cichlids Predatory Behavior Oryzias
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Deep learning-enhanced light-field imaging with continuous validation.

Nature methods May 7, 2021
Visualizing dynamic processes over large, three-dimensional fields of view at high speed is essential for many applications in the life sciences. Light-field microscopy (LFM) has emerged as a tool for fast volumetric image acquisition, but its effect...
Reproducibility of Results Biomechanical Phenomena Animals Deep Learning Larva Image Processing, Computer-Assisted Heart Zebrafish Calcium Microscopy Oryzias
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Machine Learning Methods for Automated Quantification of Ventricular Dimensions.

Zebrafish Oct 3, 2019
Medaka () and zebrafish () contribute substantially to our understanding of the genetic and molecular etiology of human cardiovascular diseases. In this context, the quantification of important cardiac functional parameters is fundamental. We have de...
Machine Learning Animals Heart Ventricles Oryzias
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High throughput automated detection of axial malformations in Medaka embryo.

Computers in biology and medicine Jan 3, 2019
Fish embryo models are widely used as screening tools to assess the efficacy and/or toxicity of chemicals. This assessment involves the analysis of embryo morphological abnormalities. In this article, we propose a multi-scale pipeline to allow automa...
Machine Learning Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted Spine Embryo, Nonmammalian Oryzias
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The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model.

Nucleic acids research Jul 22, 2024
Gene expression is temporally and spatially regulated by the interaction of transcription factors (TFs) and cis-regulatory elements (CREs). The uneven distribution of TF binding sites across the genome poses challenges in understanding how this distr...
Humans Machine Learning Animals Cattle Mice Chickens Transcription Factors Evolution, Molecular Embryonic Development Promoter Regions, Genetic Binding Sites Gene Expression Regulation, Developmental Chromatin Oryzias
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