Image-Based Phenotypic Screening with Human Primary T Cells Using One-Dimensional Imaging Cytometry with Self-Tuning...

Area of Science:

• Biotechnology
• Cell Biology
• Assay Development

Background:

• Parallel microfluidic cytometer (PMC) is an imaging flow cytometer utilizing statistical analysis of 1D line scans for efficient data collection.
• Current PMC applications require significant operator intervention for data analysis and scoring.

Purpose of the Study:

• To develop and validate a supervised automated pipeline for PMC to minimize operator intervention.
• To assess the performance of the automated pipeline in a human primary T-cell activation assay.

Main Methods:

• Implementation of a supervised automated pipeline incorporating multivariate logistic regression for data scoring.
• Testing the pipeline using a human primary T-cell activation assay with nuclear factor of activated T cells (NFAT) translocation as a readout.
• Analysis of sample throughput and data quality metrics (Z' and strictly standardized mean difference).

Main Results:

• The automated pipeline achieved an average Z' of 0.55 and a strictly standardized mean difference of 13 in T-cell activation assays.
• The system processes 4 µL samples, analyzing 3000 to 9000 conditions from 15 mL of human blood.
• High sample throughput exceeding 100,000 wells per day was demonstrated.

Conclusions:

• The automated PMC pipeline significantly enhances efficiency and reduces operator intervention for cell-based assays.
• This technology is suitable for primary-cell protein-localization assays and "on-the-fly" data scoring.
• The system shows potential for integration into primary pharmaceutical screening workflows.