AIMC Topic: Intravital Microscopy
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Structured adaptive boosting trees for detection of multicellular aggregates in fluorescence intravital microscopy.
Microvascular research
Aug 13, 2024
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions within various organs such as the lungs, liver, and brain of living subjects. In medical imaging, edge detection is used to accurately identify and deli...
Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy.
Nature communications
Apr 4, 2024
Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and tracking intravenously injected microbubbles circulating in the bloodstream. However, conventional localization techniques require spatially isolated...
Intravital microscopy visualizes innate immune crosstalk and function in tissue microenvironment.
European journal of immunology
Oct 19, 2023
Significant advances have been made in the field of intravital microscopy (IVM) on myeloid cells due to the growing number of validated fluorescent probes and reporter mice. IVM provides a visualization platform to directly observe cell behavior and ...
Enhancing Total Optical Throughput of Microscopy with Deep Learning for Intravital Observation.
Small methods
May 15, 2023
The significance of performing large-depth dynamic microscopic imaging in vivo for life science research cannot be overstated. However, the optical throughput of the microscope limits the available information per unit of time, i.e., it is difficult ...
ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.
Medical image analysis
Jan 14, 2022
Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at the cellular level. Traditional approaches to cell motion analysis by m...
A machine learning approach for single cell interphase cell cycle staging.
Scientific reports
Sep 29, 2021
The cell nucleus is a tightly regulated organelle and its architectural structure is dynamically orchestrated to maintain normal cell function. Indeed, fluctuations in nuclear size and shape are known to occur during the cell cycle and alterations in...
Two-step machine learning method for the rapid analysis of microvascular flow in intravital video microscopy.
Scientific reports
May 11, 2021
Microvascular blood flow is crucial for tissue and organ function and is often severely affected by diseases. Therefore, investigating the microvasculature under different pathological circumstances is essential to understand the role of the microcir...
Early Emergence of Solid Shape Coding in Natural and Deep Network Vision.
Current biology : CB
Oct 22, 2020
Area V4 is the first object-specific processing stage in the ventral visual pathway, just as area MT is the first motion-specific processing stage in the dorsal pathway. For almost 50 years, coding of object shape in V4 has been studied and conceived...
Label-Free Quantification of Pharmacokinetics in Skin with Stimulated Raman Scattering Microscopy and Deep Learning.
The Journal of investigative dermatology
Jul 22, 2020
The treatment of inflammatory skin conditions relies on a deep understanding of how drugs and tissue behave and interact. Although numerous methods have been developed that aim to follow and quantify topical drug pharmacokinetics, these tools can com...
AI-powered transmitted light microscopy for functional analysis of live cells.
Scientific reports
Dec 5, 2019
Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduce artificial-intelligence-powered transmitted light microscopy (AIM) for subcellular structure identification and labeling-free functional analysis of...
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