cyanoFilter

cyanoFilter filters and identifies phytoplankton cells from all particles measured via flow cytometry pigment and cell complexity information using a sequence of one-dimensional gates on pre-defined channels measuring certain pigmentation and complexity.

Key Features:

• One-dimensional gating: Applies a sequence of one-dimensional gates on pre-defined channels measuring pigmentation and complexity to separate phytoplankton cells from other particles.
• Cyanobacteria-optimized: Tuned specifically for cyanobacteria identification while remaining applicable to phytoplankton communities where at least one cell characteristic differentiates every member.

Scientific Applications:

• Phytoplankton population identification: Distinguishes phytoplankton cells from non-phytoplankton particles in flow cytometry data using pigment and cell complexity information.
• Cyanobacterial community analysis: Identifies cyanobacteria within mixed phytoplankton communities based on characteristic pigmentation and complexity signatures.

Methodology:

Sequential one-dimensional gating on pre-defined flow cytometry channels measuring pigmentation and cell complexity.