HiPFSTA

HiPFSTA segments cell membrane contours from high-resolution optical microscopy and high-speed digital imaging to enable nanometer-scale analysis for membrane fluctuation spectroscopy.

Key Features:

• Intensity-Gradient Based Algorithm: Applies an intensity-gradient approach to segment cell membrane contours with nanometer and sub-pixel precision.
• GPU Acceleration: Leverages graphical processing units (GPUs), including image oversampling and parallel computation, to rapidly process high-resolution, high-speed image sequences.
• Sub-Pixel Precision: Demonstrates sub-pixel, nanometer-scale contour precision evaluated on synthetic and experimental datasets, with performance primarily constrained by signal-to-noise ratio (SNR).

Scientific Applications:

• Membrane fluctuation spectroscopy: Provides precise boundary tracking to support membrane fluctuation (flicker) spectroscopy analyses.
• Membrane fluctuations (flickering): Tracks nanometer-scale membrane flickering to infer mechanical properties and dynamic behavior.
• Eukaryotic cells: Applies to eukaryotic cell membranes for detailed boundary determination and mechanical analysis.
• Bacteria and giant vesicle models: Applies to bacterial membranes and giant vesicle model systems for comparative studies of membrane mechanics.

Methodology:

GPU-accelerated intensity-gradient segmentation of high-resolution, high-speed optical microscopy images, with spatial precision quantified using synthetic and experimental datasets for membrane fluctuation analysis.