AIMC Topic: Mice
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Engineered Extracellular Matrices with Integrated Wireless Microactuators to Study Mechanobiology.
Advanced materials (Deerfield Beach, Fla.)
Aug 7, 2021
Mechanobiology explores how forces regulate cell behaviors and what molecular machinery are responsible for the sensing, transduction, and modulation of mechanical cues. To this end, probing of cells cultured on planar substrates has served as a prim...
Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning.
Tomography (Ann Arbor, Mich.)
Aug 7, 2021
We are developing imaging methods for a co-clinical trial investigating synergy between immunotherapy and radiotherapy. We perform longitudinal micro-computed tomography (micro-CT) of mice to detect lung metastasis after treatment. This work explores...
A concise review: the synergy between artificial intelligence and biomedical nanomaterials that empowers nanomedicine.
Biomedical materials (Bristol, England)
Aug 5, 2021
Nanomedicine has recently experienced unprecedented growth and development. However, the complexity of operations at the nanoscale introduces a layer of difficulty in the clinical translation of nanodrugs and biomedical nanotechnology. This problem i...
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals.
Nature methods
Aug 5, 2021
Markerless three-dimensional (3D) pose estimation has become an indispensable tool for kinematic studies of laboratory animals. Most current methods recover 3D poses by multi-view triangulation of deep network-based two-dimensional (2D) pose estimate...
Deep-learning-based motion correction in optical coherence tomography angiography.
Journal of biophotonics
Aug 3, 2021
Optical coherence tomography angiography (OCTA) is a widely applied tool to image microvascular networks with high spatial resolution and sensitivity. Due to limited imaging speed, the artifacts caused by tissue motion can severely compromise visuali...
A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging.
Nature neuroscience
Aug 2, 2021
Inference of action potentials ('spikes') from neuronal calcium signals is complicated by the scarcity of simultaneous measurements of action potentials and calcium signals ('ground truth'). In this study, we compiled a large, diverse ground truth da...
Interpreting wide-band neural activity using convolutional neural networks.
eLife
Aug 2, 2021
Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires considerable knowledge about the nature of the repres...
Development of quantitative model of a local lymph node assay for evaluating skin sensitization potency applying machine learning CatBoost.
Regulatory toxicology and pharmacology : RTP
Jul 24, 2021
The estimated concentrations for a stimulation index of 3 (EC3) in murine local lymph node assay (LLNA) is an important quantitative value for determining the strength of skin sensitization to chemicals, including cosmetic ingredients. However, anima...
A deep learning approach to quantify auditory hair cells.
Hearing research
Jul 22, 2021
Hearing loss affects millions of people worldwide. Yet, there are still no curative therapies for sensorineural hearing loss. Frequent causes of sensorineural hearing loss are due to damage or loss of the sensory hair cells, the spiral ganglion neuro...
A deep learning algorithm for sleep stage scoring in mice based on a multimodal network with fine-tuning technique.
Neuroscience research
Jul 17, 2021
Sleep stage scoring is important to determine sleep structure in preclinical and clinical research. The aim of this study was to develop an automatic sleep stage classification system for mice with a new deep neural network algorithm. For the purpose...
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