AIMC Topic: Mice
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Scratch-AID, a deep learning-based system for automatic detection of mouse scratching behavior with high accuracy.
eLife
Dec 8, 2022
Mice are the most commonly used model animals for itch research and for development of anti-itch drugs. Most laboratories manually quantify mouse scratching behavior to assess itch intensity. This process is labor-intensive and limits large-scale gen...
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction.
IEEE transactions on pattern analysis and machine intelligence
Dec 5, 2022
Predicting human motion from historical pose sequence is crucial for a machine to succeed in intelligent interactions with humans. One aspect that has been obviated so far, is the fact that how we represent the skeletal pose has a critical impact on ...
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...
Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy.
IEEE transactions on medical imaging
Dec 2, 2022
Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin ( [Formula: see text]), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF), multi-parametric photoacoustic microscopy (PAM) has emerge...
The geometry of representational drift in natural and artificial neural networks.
PLoS computational biology
Nov 28, 2022
Neurons in sensory areas encode/represent stimuli. Surprisingly, recent studies have suggested that, even during persistent performance, these representations are not stable and change over the course of days and weeks. We examine stimulus representa...
3-Dimensional Immunostaining and Automated Deep-Learning Based Analysis of Nerve Degeneration.
International journal of molecular sciences
Nov 26, 2022
Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease driven by inflammation and demyelination in the brain, spinal cord, and optic nerve. Optic neuritis, characterized by inflammation and demyelination of the optic nerve, is a sympt...
A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution.
Nature neuroscience
Nov 24, 2022
In many areas of the brain, neural populations act as a coordinated network whose state is tied to behavior on a millisecond timescale. Two-photon (2p) calcium imaging is a powerful tool to probe such network-scale phenomena. However, estimating the ...
Assessment of Thermal Damage from Robot-Drilled Craniotomy for Cranial Window Surgery in Mice.
Journal of visualized experiments : JoVE
Nov 11, 2022
Cranial window surgery allows for the imaging of brain tissue in live mice with the use of multiphoton or other intravital imaging techniques. However, when performing any craniotomy by hand, there is often thermal damage to brain tissue, which is in...
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models.
Respiratory research
Nov 11, 2022
Idiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung disease of a poor prognosis, characterized by progressively worsening of lung function. Although histology is still the gold standard for PF assessment in prec...
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.
Artificial intelligence in medicine
Nov 2, 2022
In assisted reproductive technology (ART), embryos produced by in vitro fertilization (IVF) are graded according to their live birth potential, and high-grade embryos are preferentially transplanted. However, rates of live birth following clinical AR...
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