Getting Started
This guide explains the CaliAli pipeline using the demo sessions in Demos, but the same workflow applies to your own data.
Installation
First follow the CaliAli installation notes Installation and System Requirements
CaliAli Processing Steps Overview
This guide is based on Demo_pipeline.mlx. In MATLAB, run:
How long it takes to process the Demo data?
Processing the demo data is expected to take approximately 5 minutes on a standard desktop computer.
CaliAli runs in five steps:
Workflow:
sequenceDiagram
participant U as User
participant DS as CaliAli_downsample()
participant MC as CaliAli_motion_correction()
participant AT as CaliAli_align_sessions()
participant CN as CaliAli_cnmfe()
participant PP as Postprocessing
U->>DS: Select input video(s)
DS->>U: Downsampled .mat files output
U->>MC: Provide downsampled files for motion correction
MC->>U: Motion corrected video saved
U->>AT: Initiate inter-session alignment
AT->>U: Updated transformation parameters
U->>CN: Run CNMF‐e extraction on aligned videos
CN->>U: Neuronal components extracted and saved
U->>PP: Launch postprocessing for residual updates and manual review
PP->>U: Updated neuron data ready for further analysis
Can I automate this process without manually selecting files?
Yes. If you pass file lists through CaliAli_options, you can run the pipeline without file-selection popups:
CaliAli_options = CaliAli_demo_parameters();
CaliAli_options = CaliAli_downsample_batch(CaliAli_options);
CaliAli_options.motion_correction.input_files = CaliAli_options.downsampling.output_files;
CaliAli_options = CaliAli_motion_correction(CaliAli_options);
CaliAli_options.inter_session_alignment.input_files = CaliAli_options.motion_correction.output_files;
CaliAli_options = CaliAli_align_sessions(CaliAli_options);
File_path = CaliAli_cnmfe(CaliAli_options.inter_session_alignment.out_aligned_sessions);
Proceed to Setting CaliAli Parameters