AIMC Topic: Mice, Inbred C57BL
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Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model.
International journal of nanomedicine
Jan 1, 2025
BACKGROUND: While liver transplantation saves lives from irreversible liver damage, it poses challenges such as graft dysfunction due to factors like ischemia-reperfusion (IR) injury, which can lead to significant cellular damage and systemic complic...
Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by dysregulated immune responses, resulting in sustained inflammation and ulceration of the colonic and rectal mucosa. To elucidate the cellular subtypes and gene expr...
Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.
Advances in experimental medicine and biology
Jan 1, 2025
Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographi...
Machine learning in time-lapse imaging to differentiate embryos from young vs old mice†.
Biology of reproduction
Jun 12, 2024
Time-lapse microscopy for embryos is a non-invasive technology used to characterize early embryo development. This study employs time-lapse microscopy and machine learning to elucidate changes in embryonic growth kinetics with maternal aging. We anal...
The cytoarchitectonic landscape revealed by deep learning method facilitated precise positioning in mouse neocortex.
Cerebral cortex (New York, N.Y. : 1991)
Jun 4, 2024
Neocortex is a complex structure with different cortical sublayers and regions. However, the precise positioning of cortical regions can be challenging due to the absence of distinct landmarks without special preparation. To address this challenge, w...
Therapeutic effects of orally administration of viable and inactivated probiotic strains against murine urinary tract infection.
Journal of food and drug analysis
Dec 15, 2023
Urinary tract infections (UTIs) are highly prevalent bacterial infections that pose significant health risks. Specific probiotic strains have been recommended for UTI control and management of antibiotic resistance. Otherwise, para-probiotics, define...
Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Jul 13, 2021
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasiona...
DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks.
Neuroinformatics
Apr 1, 2021
The extreme complexity of mammalian brains requires a comprehensive deconstruction of neuroanatomical structures. Scientists normally use a brain stereotactic atlas to determine the locations of neurons and neuronal circuits. However, different brain...
Swarming behavior and in vivo monitoring of enzymatic nanomotors within the bladder.
Science robotics
Mar 17, 2021
Enzyme-powered nanomotors are an exciting technology for biomedical applications due to their ability to navigate within biological environments using endogenous fuels. However, limited studies into their collective behavior and demonstrations of tra...
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic acids research
Nov 18, 2020
High-content imaging and single-cell genomics are two of the most prominent high-throughput technologies for studying cellular properties and functions at scale. Recent studies have demonstrated that information in large imaging datasets can be used ...
Humans
Neural Networks, Computer
Machine Learning
Single-Cell Analysis
Female
High-Throughput Nucleotide Sequencing
Monocytes
Image Processing, Computer-Assisted
Animals
Gene Expression Regulation
Fetal Blood
Databases, Genetic
Male
Mice
Mice, Inbred C57BL
Gene Expression Profiling
Myeloid Progenitor Cells
Computational Biology
Flow Cytometry
Transcriptome
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