ddPCRclust

ddPCRclust automatically quantifies the CPDs of non-orthogonal ddPCR reactions with up to four targets by identifying all clusters and labeling them correctly based on their position.

Key Features:

• Automated cluster identification: The algorithm identifies all clusters in non-orthogonal ddPCR data.
• Cluster labeling: Clusters are labeled correctly based on their position to determine the correct droplet count for each target.
• Multi-target support: The algorithm supports ddPCR reactions with up to four targets.

Scientific Applications:

• ddPCR data analysis: Quantification of CPDs (copies per droplet) in non-orthogonal ddPCR reactions.

Methodology:

The algorithm identifies all clusters and labels them correctly based on their position to determine the correct droplet count for each target.