Single-cell real-time analysis modules

Abstract

This report focuses on single-cell real-time analysis modules (SCREAM) integrating fluorescence readout and sorting, microlens arrays for improved imaging and high-throughput viable RNA extraction. Results: (1) software enabling full real-time signal analysis on a field-programmable gate array (FPGA), user-friendly via a python-based graphical user interface (GUI) and implemented sorting capabilities; (2) microlens arrays (MLAs) produced on glass substrates, and integrated on multi-well plates, or micro-stereolithography (µSLA) printed microfluidic chips, unifying novelty in both application and technology; (3) workflow for high-throughput, viable RNA extraction via cell squeezing. Bulk measurements indicate the presence of extracted RNA from viable cells. Overall, SCREAM offers modular components for fluorescent detection and analysis, micro-optics, and viable, high-throughput single-cell RNA sequencing (SCRNA-seq), adaptable to diverse life sciences applications. Results and discussion