AIMC Topic: Zebrafish

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Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning.

Nature methods Feb 11, 2021
Light-field microscopy has emerged as a technique of choice for high-speed volumetric imaging of fast biological processes. However, artifacts, nonuniform resolution and a slow reconstruction speed have limited its full capabilities for in toto extra...
Biomechanical Phenomena Animals Deep Learning Microscopy Image Processing, Computer-Assisted Behavior, Animal Caenorhabditis elegans Motor Activity Heart Neurons Zebrafish
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A deep learning approach for staging embryonic tissue isolates with small data.

PloS one Jan 8, 2021
Machine learning approaches are becoming increasingly widespread and are now present in most areas of research. Their recent surge can be explained in part due to our ability to generate and store enormous amounts of data with which to train these mo...
Tail Animals Deep Learning Gene Expression Image Processing, Computer-Assisted Zebrafish Microscopy, Confocal Embryo, Nonmammalian
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A Data-Driven Approach to Predict and Classify Epileptic Seizures from Brain-Wide Calcium Imaging Video Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
The prediction of epileptic seizures has been an essential problem of epilepsy study. The calcium imaging video data images the whole brain-wide neurons activities with electrical discharge recorded by calcium fluorescence intensity (CFI). In this pa...
Animals Zebrafish Support Vector Machine Electroencephalography Calcium Machine Learning Seizures Pattern Recognition, Automated Neuroimaging
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Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.

Disease models & mechanisms Oct 16, 2020
Animal models of human disease provide an system that can reveal molecular mechanisms by which mutations cause pathology, and, moreover, have the potential to provide a valuable tool for drug development. Here, we have developed a zebrafish model of...
Brain Animals Gene Expression Profiling Disease Models, Animal Machine Learning Algorithms Base Sequence Movement Dopaminergic Neurons Movement Disorders Parkinson Disease Mutation Alleles Zebrafish Gene Targeting Protein Deglycase DJ-1
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Mimicry Embedding Facilitates Advanced Neural Network Training for Image-Based Pathogen Detection.

mSphere Sep 9, 2020
The use of deep neural networks (DNNs) for analysis of complex biomedical images shows great promise but is hampered by a lack of large verified data sets for rapid network evolution. Here, we present a novel strategy, termed "mimicry embedding," for...
Vaccinia virus Animals Deep Learning Image Processing, Computer-Assisted Toxoplasma Zebrafish Microscopy Host-Pathogen Interactions Neural Networks, Computer Artificial Intelligence
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Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion.

Sensors (Basel, Switzerland) Aug 26, 2020
This paper introduces a novel model based on support vector machine with radial basis function kernel (RBF-SVM) using time-series features of zebrafish () locomotion exposed to different electromagnetic fields (EMFs) to indicate the corresponding EMF...
Algorithms Animals Support Vector Machine Zebrafish Locomotion Electromagnetic Fields
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Real-time deep learning-based image recognition for applications in automated positioning and injection of biological cells.

Computers in biology and medicine Aug 25, 2020
Biological cell injection is an effective method in which a foreign material is directly introduced into a biological cell. Since human involvement reduces the success rate of the biological microinjection procedure, an extensive research effort has ...
Animals Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Zebrafish Algorithms
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Zebrafish exhibit associative learning for an aversive robotic stimulus.

Lab animal Aug 10, 2020
Zebrafish have quickly emerged as a species of choice in preclinical research, holding promise to advance the field of behavioral pharmacology through high-throughput experiments. Besides biological and heuristic considerations, zebrafish also consti...
Conditioning, Classical Avoidance Learning Zebrafish Fear Memory Animals Robotics
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Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Data Mining Spectrometry, Mass, Electrospray Ionization Animals, Genetically Modified Zebrafish Chromatography, High Pressure Liquid Male Systems Biology Tandem Mass Spectrometry Blood Glucose Artificial Intelligence Rats, Wistar Diabetes Mellitus Protein Interaction Maps Biomarkers Hypoglycemic Agents Disease Models, Animal Animals Gene Regulatory Networks Drugs, Chinese Herbal Workflow
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CytoCensus, mapping cell identity and division in tissues and organs using machine learning.

eLife May 19, 2020
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends conv...
Automation Drosophila melanogaster Cell Division Tissue Culture Techniques Time-Lapse Imaging Microscopy, Video Organoids Retina Zebrafish Embryo, Mammalian Animals, Genetically Modified Machine Learning Image Processing, Computer-Assisted Mice Mutation Phenotype Animals Brain Male Female Larva Reproducibility of Results Time Factors
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