Cecelia

Cecelia integrates various open-source packages into a coherent data management suite for quantitative multidimensional image analysis of complex 3D and live cell images.

Key Features:

• Spatial cellular interaction analysis: Cecelia decodes spatial cellular interactions from microscopy data.
• Live cell behavior classification: Cecelia implements an unbiased approach to distinguish dynamic cell behaviours from live imaging data.
• Multidimensional image analysis: Cecelia supports quantitative analysis of complex 3D and live cell images.
• Data management integration: Cecelia integrates various open-source packages into a coherent data management suite.

Scientific Applications:

• Immunology research: Cecelia has been applied to several immunologically relevant scenarios including analysis of spatial cellular interactions.
• Live cell imaging: Cecelia enables in-depth quantitative analysis of dynamic cell behaviours from live imaging data.

Methodology:

Cecelia is built on R/Shiny and Python/Napari, integrating various open-source packages into a coherent data management suite.