Shruthi Bare
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Shruthi Bare has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
Amit K. Banerjee
Applied Physics Lab, Johns Hopkins University, Baltimore, USA
1 shared publication- Arvind P. Pathak
Department of Biomedical Engineering The Johns Hopkins University Whiting School of Engineering Baltimore Maryland USA
1 shared publication - Darren L. Yang
Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, USA
1 shared publication David J. Linden
The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, USA
1 shared publicationDevorah VanNess
The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, USA
1 shared publicationIrfaan Karim
Neurology, The Johns Hopkins University School of Medicine, Baltimore, USA
1 shared publication
Latest Publications
- Open Access
- 22 June 2026
- Published by Springer Nature in Nature Methods
- Vol. 23 (7) , 1424-1436
A cloud-based miniscope for neurosurveillance of brain health and disease in freely behaving animals
Miniaturized microscopes or ‘miniscopes’ for neuroimaging in freely behaving animals mostly operate over short durations (24 h) imaging, remote operation and simultaneous characterization of multiple neurophysiological variables such as neuronal activity, blood flow, blood volume, oxygenation and cellular dynamics (a capability that we call ‘neurosurveillance’). Thus, we developed the ‘CloudScope’, a cloud-based multicontrast miniscope for autonomous neurosurveillance in freely behaving animals. Its cloud-based architecture enables global remote operation and continuous acquisition of multicontrast images over CNS disease model life cycles. We demonstrate CloudScope’s neurosurveillance capabilities in predicting behavior from 24-h neuroimaging data with deep learning (DL), characterizing neurovascular changes during natural behavior, seizure-induced neurovascular disruptions, and in vivo cellular and microvascular phenotyping of brain tumor microenvironments. Finally, CloudScope’s architecture enables ‘time-shared’ imaging, which potentially reduces animal use. Collectively, CloudScope’s neurosurveillance capabilities in conjunction with CNS disease models establish a new paradigm for characterizing their etiology and evolution.
- 22 June 2026
- Published by Springer Nature in Nature Methods
- Vol. 23 (7) , 1424-1436
Open AccessA cloud-based miniscope for neurosurveillance of brain health and disease in freely behaving animals
Miniaturized microscopes or ‘miniscopes’ for neuroimaging in freely behaving animals mostly operate over short durations (24 h) imaging, remote operation and simultaneous characterization of multiple neurophysiological variables such as neuronal activity, blood flow, blood volume, oxygenation and cellular dynamics (a capability that we call ‘neurosurveillance’). Thus, we developed the ‘CloudScope’, a cloud-based multicontrast miniscope for autonomous neurosurveillance in freely behaving animals. Its cloud-based architecture enables global remote operation and continuous acquisition of multicontrast images over CNS disease model life cycles. We demonstrate CloudScope’s neurosurveillance capabilities in predicting behavior from 24-h neuroimaging data with deep learning (DL), characterizing neurovascular changes during natural behavior, seizure-induced neurovascular disruptions, and in vivo cellular and microvascular phenotyping of brain tumor microenvironments. Finally, CloudScope’s architecture enables ‘time-shared’ imaging, which potentially reduces animal use. Collectively, CloudScope’s neurosurveillance capabilities in conjunction with CNS disease models establish a new paradigm for characterizing their etiology and evolution.