mycelyso

mycelyso analyzes time-lapse microscopy image stacks to automatically segment, track, and quantify Streptomyces mycelial development for morpho-phenotypic analysis relevant to antibiotic production.

Key Features:

• Automated image analysis: Segmentation and temporal tracking of hyphal networks from time-lapse microscopy image stacks, including data from microfluidic lab-on-a-chip systems.
• Extraction of growth parameters: Quantification of mycelium network structure, temporal development, and tip growth rates.
• Visualization: Generation of 2D and 3D visualizations of temporal tracking and morphological growth behaviors.
• Batch-analysis mode: Rapid, reproducible processing of large image datasets for high-throughput morphological parameter extraction.
• Quality control and downstream evaluation: Tools for quality control and downstream evaluation of extracted morphological data.
• Reproducibility and statistical analysis: Support for reproducible workflows and correlation analyses between morphological, molecular, and process parameters at hyphae- and mycelium-levels.

Scientific Applications:

• Spatio-temporal screening: High-throughput spatio-temporal screening of Streptomyces growth under controlled and reproducible conditions.
• Bioprocess optimization: Analysis of morphology–productivity relationships to optimize submerged cultivation and antibiotic production.
• Morphology–molecular correlation: Correlation of morphological metrics with molecular and process parameters at hyphae and mycelium scales for bioprocess development.
• High-throughput phenotyping: Large-scale morphological phenotyping of Streptomyces populations from microfluidic screenings.

Methodology:

Automated segmentation and temporal tracking of hyphal networks from time-lapse microscopy image stacks, extraction of mycelial metrics such as tip growth rates and temporal development, batch-mode processing, and reproducible correlation analyses between morphological, molecular, and process parameters.