Researchers at Johns Hopkins Medicine have developed CloudScope, a cloud-based miniaturized microscope that enables continuous neurosurveillance of brain activity, blood flow, oxygenation, and cellular dynamics in freely moving mouse models for more than 24 hours. According to Arvind Pathak, professor of radiology, oncology, and biomedical and electrical engineering at Johns Hopkins, the innovation addresses a long-standing challenge in neuroscience: observing biological processes that unfold over extended periods in the central nervous system microenvironment.
Breaking the 24-Hour Neuroimaging Time Barrier
Modern neuroimaging tools typically capture only a small fraction of central nervous system disease progression, which usually unfolds over hours, days, or weeks. To overcome this limitation, the Johns Hopkins team engineered the CloudScope to operate autonomously, allowing scientists to access live imaging data remotely from anywhere in the world.
“Most central nervous system diseases develop over hours, days or weeks. Yet modern imaging tools are designed to continuously probe only a small fraction of this time window,” says Janaka Senarathna, assistant professor of radiology at Johns Hopkins. “We developed a device to break this time barrier.”
Did you know? CloudScope’s architecture enables “time-shared” imaging from anywhere in the world, a feature that researchers say creates a pathway to reduce animal use in laboratories while advancing neuropathological insights.
Capturing Spontaneous Seizures and Brain Cancer Dynamics
By deploying the CloudScope in preclinical models, the Johns Hopkins team successfully recorded spontaneous seizures occurring several hours after a drug-induced seizure in mice. These events would typically be missed using conventional short-term imaging methods that rely on limited observation windows.
In separate studies focusing on brain cancer, researchers used the device to characterize the behavior of individual cancer cells in vivo over a 72-hour period. The platform allowed scientists to observe dynamic changes in the brain’s microenvironment as the disease progressed, providing a more holistic picture of pathology than standard short-duration microscopy.
Integrating AI with Long-Term Brain Imaging Datasets
The generation of continuous 24-hour brain imaging datasets opens new avenues for artificial intelligence in neuroscience. The Johns Hopkins researchers combined their continuous imaging data with video recordings of freely behaving laboratory animals to train an AI framework.
Investigators note that this approach could help scientists better understand the neurological effects of conditions like stroke or Parkinson’s disease.
Frequently Asked Questions
What is CloudScope?
CloudScope is a cloud-based miniaturized microscope developed by researchers at Johns Hopkins Medicine that allows continuous neurosurveillance and remote live imaging of brain activity in freely moving animals for over 24 hours.
How does CloudScope help reduce laboratory animal use?
CloudScope features a “time-shared” imaging architecture accessible from anywhere in the world, which researchers indicate creates a pathway to decrease the number of animal models required for neuroscientific and neuropathological studies.
What physiological variables can CloudScope monitor?
The device monitors neuronal activity, blood flow, blood volume, oxygenation, and cellular dynamics within the central nervous system microenvironment over extended periods.
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