cellGrowth

cellGrowth fits mathematical growth models to optical density (OD) curve data to quantify cell population growth dynamics.

Key Features:

• Model fitting: Fits mathematical growth models to OD curve data to estimate growth dynamics and extract parameters such as growth rate and lag phase.
• Bioconductor integration: Operates within the R/Bioconductor ecosystem, enabling interoperability with other Bioconductor packages and access to Bioconductor statistical tools.

Scientific Applications:

• Microbiology: Analysis of microbial OD growth curves to quantify growth rates, lag phases, and population dynamics under experimental conditions.
• Cancer biology: Characterization of proliferation dynamics from OD-based growth assays to compare growth behavior of cancer cell populations.
• Cell proliferation studies: Extraction of quantitative growth parameters for experiments studying cellular proliferation across conditions.

Methodology:

Applies statistical modeling in the R/Bioconductor environment to fit predefined or user-specified growth models to optical density (OD) curve data.