ArticleNature methods2023
Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.PLoS computational biology · 2026Article
- SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.bioRxiv : the preprint server for biology · 2026Article
- CUSP: Complex spike sorting from multi-electrode array recordings with U-net sequence-to-sequence prediction.Journal of neuroscience methods · 2026Article
- CUSP: Complex Spike Sorting from Multi-electrode Array Recordings with U-net Sequence-to-Sequence Prediction.bioRxiv : the preprint server for biology · 2025Article
- Uncertainty-Gated Min-Cost Flows forbioRxiv : the preprint server for biology · 2025Article
- DELTA: a method for brain-wide measurement of synaptic protein turnover reveals localized plasticity during learning.Nature neuroscience · 2025Article
- EPSILON: a method for pulse-chase labeling to probe synaptic AMPAR exocytosis during memory formation.Nature neuroscience · 2025Article
- Computational Super-Resolution: An Odyssey in Harnessing Priors to Enhance Optical Microscopy Resolution.Analytical chemistry · 2025Review
- Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.Scientific reports · 2025Article
- Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material Discrimination.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Automatic detection of fluorescently labeled synapses in volumetric in vivo imaging data.bioRxiv : the preprint server for biology · 2025Article
- Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis.Nature communications · 2024Article
- Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration.Nature methods · 2024Article
- Harnessing artificial intelligence to reduce phototoxicity in live imaging.Journal of cell science · 2024Article
- Live-cell imaging in the deep learning era.Current opinion in cell biology · 2023Review
- Hippocampal synaptic alterations associated with tau pathology in primary age-related tauopathy.Journal of neuropathology and experimental neurology · 2023Article
- Hippocampal Synaptic Alterations Associated with Tau Pathology in Primary Age-Related Tauopathy.medRxiv : the preprint server for health sciences · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Learning is thought to involve changes in glutamate receptors at synapses, submicron structures that mediate communication between neurons in the central nervous system. Due to their small size and high density, synapses are difficult to resolve in vivo, limiting our ability to directly relate receptor dynamics to animal behavior. Here we developed a combination of computational and biological methods to overcome these challenges. First, we trained a deep-learning image-restoration algorithm that combines the advantages of ex vivo super-resolution and in vivo imaging modalities to overcome limitations specific to each optical system. When applied to in vivo images from transgenic mice expressing fluorescently labeled glutamate receptors, this restoration algorithm super-resolved synapses, enabling the tracking of behavior-associated synaptic plasticity with high spatial resolution. This method demonstrates the capabilities of image enhancement to learn from ex vivo data and imaging techniques to improve in vivo imaging resolution.
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Registered trials
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