FlowGateNIST

FlowGateNIST automates gating and fluorescence calibration of flow cytometry data to separate cellular events from background and enable quantitative analysis of small cells such as bacteria and yeast.

Key Features:

• Automated Gating: Uses a Gaussian Mixture Model (GMM) to differentiate cellular events from background by comparing measured cell samples against buffer blank samples.
• Singlet vs. Multiplet Discrimination: Distinguishes singlet and multiplet events to improve accuracy in population quantification.
• Fluorescence Calibration: Performs automatic calibration of fluorescence signals using specialized calibration beads to standardize measurements across experiments.

Scientific Applications:

• Engineered bacteria analysis: Enables automated evaluation of engineered bacterial systems using flow cytometry data.
• Cellular phenotyping: Supports assessment of cellular characteristics such as size, granularity, and fluorescence intensity for bacteria and yeast.
• High-throughput screening: Facilitates rapid processing of large numbers of flow cytometry samples for screening applications.

Methodology:

Applies Gaussian Mixture Model (GMM) statistical modeling for automated gating, compares experimental cell samples to buffer blank controls to segregate true events from background, discriminates singlet versus multiplet events, and calibrates fluorescence using calibration beads.