AIMC Topic: Zebrafish
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An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries.
Development (Cambridge, England)
Apr 3, 2023
Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress in recent years and has become much more accessible to non-specialists with the development of ready-to-use tools. The study of oogenesis mechanisms a...
Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.
Environmental science & technology
Mar 27, 2023
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose disease processes. The emergence of ever-increasing varieties of environmental pollutants makes it difficult to perform timely assessments, especially using...
Emergence of time persistence in a data-driven neural network model.
eLife
Mar 14, 2023
Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swim...
A study of transfer of information in animal collectives using deep learning tools.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Feb 20, 2023
We studied how the interactions among animals in a collective allow for the transfer of information. We performed laboratory experiments to study how zebrafish in a collective follow a subset of trained animals that move towards a light when it turns...
Quantifying stiffness and forces of tumor colonies and embryos using a magnetic microrobot.
Science robotics
Jan 25, 2023
Stiffness and forces are two fundamental quantities essential to living cells and tissues. However, it has been a challenge to quantify both 3D traction forces and stiffness (or modulus) using the same probe in vivo. Here, we describe an approach tha...
Social behavioral profiling by unsupervised deep learning reveals a stimulative effect of dopamine D3 agonists on zebrafish sociality.
Cell reports methods
Jan 5, 2023
It has been a major challenge to systematically evaluate and compare how pharmacological perturbations influence social behavioral outcomes. Although some pharmacological agents are known to alter social behavior, precise description and quantificati...
Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning.
Neuroscience bulletin
Dec 26, 2022
Accurate and efficient methods for identifying and tracking each animal in a group are needed to study complex behaviors and social interactions. Traditional tracking methods (e.g., marking each animal with dye or surgically implanting microchips) ca...
Deconstructing body axis morphogenesis in zebrafish embryos using robot-assisted tissue micromanipulation.
Nature communications
Dec 24, 2022
Classic microsurgical techniques, such as those used in the early 1900s by Mangold and Spemann, have been instrumental in advancing our understanding of embryonic development. However, these techniques are highly specialized, leading to issues of int...
Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy.
Communications biology
Dec 3, 2022
Bioluminescence microscopy is an appealing alternative to fluorescence microscopy, because it does not depend on external illumination, and consequently does neither produce spurious background autofluorescence, nor perturb intrinsically photosensiti...
A robot-assisted acoustofluidic end effector.
Nature communications
Oct 26, 2022
Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, both do-it-yourself and commercial robotic systems are available; however, for microscale, reagents are expensive and sample preparation is difficult....
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