4- Synapses ROI Segmentation

This tutorial focuses on the segmentation of regions of interest (ROIs) for synapses in the ExR-Tools, an essential step for analyzing synaptic regions in your dataset.

Step 1: Load Configuration Settings

Initialize and load the configuration settings from a file.

from exr.config.config import Config

# Create a new Config object instance.
config = Config()

# Provide the path to the configuration file.
config_file_path = '/path/to/your/configuration/file.json'

# Load the configuration settings from the specified file.
config.load_config(config_file_path)

Step 2: Synapses ROI Segmentation

Execute synapses ROI segmentation with specific parameters.

from exr.segmentation.segmentation import synapses_roi_segmentation

# Define parameters for segmentation
segment_round = 1  # Replace with your desired round number
segment_roi = 1    # Replace with your desired ROI number
segment_channel = '561'  # Replace with your desired channel

intensity_percentage = 3
size_threshold = 3500
iterations = 2

# Execute segmentation
synapses_roi_segmentation(
    config=config,
    round=segment_round,
    roi=segment_roi,
    channel=segment_channel,
    top_intensity_percentage=intensity_percentage,
    size_thershold=size_threshold,
    dilate_erode_iteration=iterations
)

# Note: Monitor the logs or console output for segmentation process.

Next Steps

With the completion of the Synapses ROI Segmentation, the final step in the ExSeq-Toolbox pipeline is Synapses Analysis. This step is crucial for detailed analysis and interpretation of synaptic structures. For instructions on how to proceed with Synapses Analysis, refer to the Synapses Analysis section of this guide.