pyBer v0.1.2 - update

pyBer is a desktop GUI for fiber photometry processing with a deterministic core pipeline and an interactive QC workflow.

Highlights

• Supports raw data in .doric, .h5, or .csv
• Artifact detection with global or adaptive MAD and optional padding, plus manual masking
• Zero‑phase low‑pass filtering and joint resampling to a target sampling rate
• Baseline estimation with pybaselines (asls, arpls, airpls)
• Seven output modes including motion‑corrected dFF and z‑score variants
• Fitted‑reference motion correction using OLS, Lasso, or robust RLM
• Export processed traces to CSV or HDF5 with metadata
• Post‑processing: DIO/behavior alignment, PSTH + heatmap, metrics, group mode

Quick start

conda env create -f environment.yml
python main.py

pyBer v0.1.1 - first public release

pyBer is a desktop GUI for fiber photometry processing with a deterministic core pipeline and an interactive QC workflow.

Highlights

• Supports raw data in .doric, .h5 or .csv.
• Artifact detection with global or adaptive MAD and optional padding, plus manual masking
• Zero-phase low-pass filtering and joint resampling to a target sampling rate
• Baseline estimation with pybaselines (asls, arpls, airpls)
• Seven output modes including motion-corrected dFF and z-score variants
• Fitted-reference motion correction using OLS, Lasso, or robust RLM
• Export processed traces to CSV or HDF5 with metadata
• Post-processing: DIO/behavior alignment, PSTH + heatmap, metrics, group mode

Quick start

conda env create -f environment.yml
python main.py