Features

With state-of-the-art AI and advanced calcium imaging analysis, automated neuron detection and signal extraction at your fingertips

Auto ROI Detection
Automated neuron detection using CaImAn CNMF with intelligent parameter tuning
Spike Inference
OASIS-based deconvolution for accurate spike time detection from calcium traces
Quality Metrics
Multi-metric evaluation: SNR, correlation, and CNN-based component classification
Motion Correction
NoRMCorre-based rigid and non-rigid motion correction for stable imaging
Deep Learning Fallback
Cellpose integration for challenging segmentation cases with GPU acceleration
Zero Manual Tuning
AI-driven parameter selection based on imaging modality, brain region, and indicator

Your Data Sources

Integrated analysis pipeline for calcium imaging

FAQ

Common questions about calcium imaging analysis

What imaging modalities are supported?

NeuroAIDA supports both 1-photon (miniscope) and 2-photon calcium imaging data. Parameters are automatically optimized based on the detected modality.

What calcium indicators are compatible?

We support GCaMP6s, GCaMP6f, GCaMP7, jGCaMP8, and other common calcium indicators. The platform auto-detects indicator characteristics from metadata when available.

How does the auto-tuning work?

NeuroAIDA uses a template database of validated parameters based on imaging modality, brain region, and calcium indicator. If initial detection quality is low, the system automatically adjusts parameters and retries.

What file formats are accepted?

TIFF stacks (single and multi-page), HDF5, and raw binary formats. Maximum recommended file size is 10GB for optimal processing speed.

Can I export results for further analysis?

Yes! Export options include ΔF/F traces (CSV, NPY), spike times, ROI masks, and NWB format for compatibility with other neuroscience tools.