OpenHiCAMM

OpenHiCAMM integrates with μManager to enable automated high-content image acquisition by combining microscope-associated robotics and image processing in sequential workflows for detection, low-resolution scanning, and high-resolution re-imaging of samples such as Drosophila embryos and organoids.

Key Features:

• Flexible integration: Integrates with μManager and generic microscope-associated robotics and image-processing tools to automate imaging tasks.
• Sequential workflow capability: Supports multi-stage workflows including initial low-resolution scans to detect samples (e.g., Drosophila embryos) followed by targeted high-resolution re-imaging for detailed analysis.
• Broad sample compatibility: Applicable to diverse biological samples beyond cultured cells, including organoids, enabling high-content imaging of non-traditional specimens.

Scientific Applications:

• High-throughput image-based screening: Facilitates automated acquisition and re-imaging workflows suitable for large-scale screening.
• Systems biology and bioimaging: Enables generation of multiresolution image datasets for systems-level and bioimaging analyses.
• Developmental biology: Supports detailed imaging of developmental specimens such as Drosophila embryos for morphological and temporal studies.
• Disease modeling: Supports imaging of organoids and other model systems used in disease-modeling research.
• Drug discovery: Enables phenotypic acquisition workflows applicable to drug discovery and screening.

Methodology:

Integration of robotic automation with image-processing within a sequential workflow to perform low-resolution detection followed by high-resolution re-imaging, implemented as a modular framework compatible with μManager.