OpenSegSPIM

OpenSegSPIM performs 3D automatic quantitative analysis of Single Plane Illumination Microscopy (SPIM) datasets for identification and measurement of biological structures such as nuclei and cells.

Key Features:

• 3D automatic segmentation: Performs automated 3D segmentation of SPIM image stacks using image processing algorithms.
• Structure identification: Detects and identifies biological structures such as nuclei and cells within SPIM datasets.
• Morphometric measurements: Calculates volume and sphericity for segmented structures.
• Spatial measurements: Measures distances between structures within 3D datasets.
• Fluorescence quantification: Quantifies fluorescent signal intensities from Light Sheet Fluorescent Microscopy images.
• Automation for consistency: Automates segmentation and analysis to provide consistent measurements across large-scale studies.

Scientific Applications:

• Developmental biology: Quantitative analysis of morphogenesis and tissue architecture from SPIM datasets.
• Neurobiology: Characterization and morphometrics of neuronal structures in 3D Light Sheet Fluorescent Microscopy data.
• SPIM-reliant imaging studies: Automated extraction of quantitative morphological and intensity data for large-scale SPIM experiments.

Methodology:

Automated segmentation and quantitative analysis of SPIM/Light Sheet Fluorescent Microscopy image stacks using advanced image processing algorithms.