Visualize combined ReaDDy and Cytosim simulation trajectories¶
Notebook contains steps for visualizing ReaDDy and Cytosim simulations of a single actin fiber using Simularium.
if __name__ != "__main__":
raise ImportError("This module is a notebook and is not meant to be imported")
from pathlib import Path
from subcell_pipeline.analysis.compression_metrics.compression_metric import (
CompressionMetric,
)
from subcell_pipeline.visualization.combined_trajectory import (
visualize_combined_trajectories,
)
Define visualization settings¶
# S3 buckets for simulation and visualization input and output files
buckets: dict[str, str] = {
"combined": "s3://subcell-working-bucket",
"readdy": "s3://readdy-working-bucket",
"cytosim": "s3://cytosim-working-bucket",
}
# Name of the simulation series
series_name: str = "ACTIN_COMPRESSION_VELOCITY"
# List of condition file keys for each velocity
condition_keys: list[str] = ["0047", "0150", "0470", "1500"]
# Replicate ids for simulations
replicates: list[int] = [1, 2, 3, 4, 5]
# Number of timepoints
n_timepoints = 201
# List of simulators and colors
simulator_colors = {
"cytosim": "#1cbfaa",
"readdy": "#ff8f52",
}
# Temporary path to save visualization files
temp_path: Path = Path(__file__).parents[2] / "viz_outputs"
temp_path.mkdir(parents=True, exist_ok=True)
# List of compression metrics to include
metrics = [
CompressionMetric.NON_COPLANARITY,
CompressionMetric.PEAK_ASYMMETRY,
CompressionMetric.AVERAGE_PERP_DISTANCE,
CompressionMetric.CONTOUR_LENGTH,
CompressionMetric.COMPRESSION_RATIO,
]
Visualize combined trajectories¶
Visualize all compression simulations from ReaDDy and Cytosim together in Simularium.
Input:
(series_name)/samples/(series_name)_(condition_key)_(replicate).csv
Output:
actin_compression_cytosim_readdy.simularium
visualize_combined_trajectories(
buckets,
series_name,
condition_keys,
replicates,
n_timepoints,
simulator_colors,
str(temp_path),
metrics=metrics,
)