Image Gallery#
Visual reference for LBM-Suite2p-Python outputs and documentation.
Pipeline Outputs#
Maximum intensity projection from registered movie.#
Enhanced mean image with median high-pass filter applied.#
ROI masks overlaid on enhanced mean image.#
ROI quality metrics: size, SNR, compactness distributions.#
Raw fluorescence traces for top neurons by quality score.#
ΔF/F traces computed with rolling percentile baseline.#
ΔF/F Analysis#
Comparison of baseline estimation methods.#
Effect of window size on baseline estimation.#
Shot noise estimation across ROIs.#
Components of trace quality scoring.#
Projection Types#
Anatomical detection modes: meanImg, meanImgE, max_proj.#
Effect of spatial_hp_cp parameter values on cell boundary enhancement.#
Parameter Effects#
Segmentation with default parameters.#
Effect of threshold_scaling on detection.#
Effect of tau on temporal binning and detection.#
Effect of max_overlap on ROI acceptance.#
Diagrams#
Line offset correction diagram.#
ROI retiling diagram.#
Pipeline flow diagram.#
Z-plane deinterleaving diagram.#