Calcium Imaging Analysis Software Key Features:
- Apply bandpass filtering, motion correction, and dF/F computation to process your videos and perform cell segmentation and calcium event detection;
- Batch process your data using Matlab and Python APIs;
- Automatically logged system logs and time stamps track experimental progress ;
- Utilize computer vision to process videos and extract SNR in real-time;
- Export your data at any stage, compatible with analysis tools like Matlab, Excel, ImageJ;
- Works on Windows, Mac, and Linux.
Motion Correction
Background Subtraction
Motion Correction
Cell Selection
How to Visualize Your Ca2+ Signals and Convert to Analyzable Data
| 1 |
Pre-processing Optimize data: downsampling, cropping, component removal. |
| 2 |
Motion correction Corrects image jitter from various causes. |
| 3 |
△F/F Normalizes instantaneous fluorescence. |
| 4 |
Cell segmentation Automatically identifies cell ROIs using CNMFe algorithm, extracts signals without manual cell limit setting. |
| 5 |
Longitudinal cell matching Matches and tracks cells across multiple videos of the same animal over time. |
| 6 | Event detection Automatically detects calcium events based on fluorescence intensity changes.
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