irfCellSegmentation

irfCellSegmentation automates detection and segmentation of fluorescent cells in ultrathin resin sections to enable high-resolution correlation between fluorescent proteins and cellular structures such as organelles and membranes across fluorescence and electron microscopy in integrated array tomography.

Key Features:

• Automated Detection: Identifies fluorescent cells in thin resin sections to support targeted electron image acquisition.
• Smart Tracking Integration: Uses 'smart tracking' to direct automated electron microscopy to fluorescence-identified regions of interest.
• Noise Robustness: Maintains reliable segmentation performance under noisy and low-fluorescence conditions.
• Data Efficiency: Focuses imaging and acquisition on regions of interest to reduce overall data rates while preserving relevant detail.

Scientific Applications:

• Cellular and Organelle Imaging: Correlates fluorescent markers with specific cellular components, including organelles and membranes, for structural and functional studies.
• High-Resolution Correlation Studies: Supports precise alignment and correlation of fluorescence data with electron microscopy images in integrated array tomography.

Methodology:

Sequential imaging of large numbers of serial sections to produce aligned volumes from both fluorescence and electron imaging modalities, combined with processing techniques that select and analyze only relevant data.