Models for the electronic processing of flow cytometric data at high particle rates

Area of Science:

• Biotechnology
• Data Processing
• Electronic Engineering

Background:

• Flow cytometry generates large datasets, with processing capacity limited by electronic components.
• Processor waiting times and reset mechanisms critically affect data throughput at high particle rates.

Purpose of the Study:

• To analyze impulse processor models for flow cytometry electronics.
• To investigate the impact of waiting time and reset mechanisms on device input-output properties.
• To derive formulas for filtering consecutive pulses like clumps and doublets.

Main Methods:

• Analysis of four impulse processor models with feedback loops for waiting time.
• Application of discrete systems analytical tools.
• Derivation of formulas for yield and response to input signals.

Main Results:

• Formulas derived for the yield of waiting time devices, doublet filters, clump filters, and combined filters.
• Analysis of device response to sudden input signal onset.
• Reset mechanisms identified as key determinants of waiting time device capacity based on impulse rate.

Conclusions:

• Processor reset mechanisms are crucial for optimizing flow cytometry data processing efficiency.
• Understanding these mechanisms enhances the capacity of electronic devices for high-throughput analysis.
• The derived formulas provide a quantitative basis for designing improved flow cytometry processors.