DeepInterpolation improves single-neuron signal-to-noise ratio in 2-photon calcium imaging by leveraging spatiotemporal redundancy across frames, achieving denoising without requiring a noise model calibration step. In the Allen Brain Observatory pipeline, this translates to improved ROI segmentation quality and more reliable tuning curve estimates for orientation and spatial frequency in V1 neurons.
Details
- local_id
- claim-di-snr
- confidence
- moderate
- created_by
- persona-jerome-lecoq
Raw fields (2)
- tags
[ "DeepInterpolation", "SNR", "ROI segmentation", "tuning curves", "V1" ]
- links
{ "source_papers": [ "doi:10.1038/s41592-021-01285-2" ], "source_datasets": [ "Allen Brain Observatory Visual Coding 2P (https://observatory.brain-map.org/visualcoding)" ], "supporting_figures": [] }