AIMC Topic: Zebrafish

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A Comparative Evaluation of Microimpedance Tomography Reconstruction Algorithms for in Vitro Imaging.

ACS sensors
This paper presents the development of a novel miniature electrical impedance tomography (EIT) system made out of glass, along with the training, validation, and testing of an accompanying open-source machine learning image reconstruction model. Our ...

High throughput machine learning pipeline to characterize larval zebrafish motor behavior.

PloS one
Using machine learning, we developed models that rigorously detect and classify larval zebrafish spontaneous and stimulus-evoked behaviors in various well plate formats. Zebrafish are an ideal model system for investigating the neural substrates unde...

Deep Learning-Enabled Unbiased Precision Toxicity Assessment of Zebrafish Organ Development.

Environmental science & technology
Precise assessment of toxicological effects remains a key bottleneck in biomedical and environmental health assessments. Traditional toxicology relies on macroscopic end points and manual image analysis, which limit sensitivity to structural damage a...

Artificial embodied circuits uncover neural architectures of vertebrate visuomotor behaviors.

Science robotics
Brains evolve within specific sensory and physical environments, yet neuroscience has traditionally focused on studying neural circuits in isolation. Understanding of their function requires integrative brain-body testing in realistic contexts. To in...

Temperature adaptation in structure and function in lactate dehydrogenase-A reflects convergent evolution in a few key protein regions.

Proceedings of the National Academy of Sciences of the United States of America
Adaptive differences in the thermal stabilities of enzyme structure and function play critical roles in establishing the thermal optima and limits of all organisms. Thus, understanding the mechanisms underlying these adaptations can yield insights in...

Synergistic enhancement of detection-tracking framework for zebrafish shoaling behavior analysis.

Scientific reports
Computer vision and artificial intelligence (AI) have become increasingly important in behavioral analysis across biological research. In contrast to well-established methods for individual behavior analysis, computational frameworks for quantitative...

The pericardium forms as a distinct structure during heart formation.

Nature communications
The heart is formed from diverse cell lineages that assemble into a functional unit, including the pericardium, a mesothelial sac that supports movement, homeostasis, and immune responses. However, its developmental origins remain unresolved. Here, w...

AI-assisted phenotyping in a zebrafish hypophosphatasia model enables early and precise detection of skeletal alterations.

Scientific reports
Hypophosphatasia (HPP) is a rare genetic disorder mainly affecting bone and tooth mineralization in patients due to ALPL gene mutations. Understanding genotype-phenotype correlations in HPP remains challenging due to different severities and the dise...

An Engineered Supramolecular Fluorescent Chemosensor for Multiscale Visualization of Glutamate Dynamics in Living Systems.

Journal of the American Chemical Society
Glutamate (Glu) plays a critical role in the brain, and the ability to directly measure glutamate activity is essential for understanding its physiological functions and pathological processes. Herein, we engineered a family of Glu sensors () based o...

Enhanced bi-branch deep learning network for in vivo hyperspectral imaging recognition of organs and tissues.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Hyperspectral imaging, as an emerging medical imaging technology, offers significant potential in biomedical research due to its ability in capturing rich spectral information. An enhanced bi-branch network integrating graph convolutional network (GC...