Deep Learning Pipeline for Microscopy Denoising and Registration
A self-adaptive deep learning framework integrating DeepCAD denoising and PyLoReg registration. Designed for high-fidelity restoration of in vivo calcium imaging by eliminating both Poisson noise and complex motion artifacts.
Demo Applications
Continuous 24-hour Single-Cell Resolution Imaging in Freely Behaving Mice enhanced by NeuroPilot
[视频描述 1]
Robust Motion Correction and Single Restoration of Spinal Cord Neurons in Noisy Two-Photon Data
[视频描述 2]
Spatiotemporal Restoration of Low-SNR 3-Photon Volumetric Calcium Imaging
[视频描述 3]
High Fidelity Restoration of Cortex-wide Two-Photon Calcium Imaging in Vivo
[视频描述 4]
Image Restoration for Multiplex Imaging in the Mouse Superficial Barrel Cortex
[视频描述 5]
Motion Correction and Single Extraction of Neuronal Axons in Noisy Spinal Cord Data
[视频描述 6]
High Fidelity Reconstruction of Microcirculation in the Ventral Lumbar Spinal Cord of Freely Moving Mice
[视频描述 7]
Robust Motion Correction and Single Restoration for Comparative Analysis of Neural Population Trajectories in the Mouse LEC and CA1 Retion
[视频描述 8]
Restoration of Mitochondrial Morphology and Topological Fidelity in Noisy Two-Photon Microscopy Data
[视频描述 9]
High-Fidelity Cross Session Tracking of Spinal Neurons Under Varied Simulation Conditions
[视频描述 10]
Robust Spatiotemporal Calcium Signal Extraction from Free-Moving Spinal Cord Imaging Data
[视频描述 11]
Robust Motion Correction and Signal Restoration of Spinal Cord Neurons in Noisy Two-Photon Microscopy Data
[视频描述 12]
