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Updated: Jun 7, 2026

Live-cell Imaging of Single-Cell Arrays (LISCA) - a Versatile Technique to Quantify Cellular Kinetics

Live-cell Imaging of Single-Cell Arrays (LISCA) - a Versatile Technique to Quantify Cellular Kinetics

Published on: March 18, 2021

High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course

Min Cheol Park¹, Jae Young Hur, Hye Sung Cho

¹School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-742, Korea.

|October 20, 2010

Summary

This summary is machine-generated.

This study introduces a microfluidic platform for high-throughput, time-course single-cell analysis. The system efficiently captures yeast cells to monitor cellular responses, revealing non-uniform signaling kinetics in populations.

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Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations

Published on: September 20, 2019

Area of Science:

Microfluidics
Cellular Biology
Quantitative Biology

Background:

High-throughput single-cell analysis is crucial for understanding cellular responses.
Existing methods often lack the scalability or precision needed for detailed kinetic studies.

Purpose of the Study:

To develop a robust microfluidic platform for large-scale, time-course single-cell response measurements.
To enable quantitative analysis of cellular signaling pathways at single-cell resolution.

Main Methods:

A microfluidic chip with microwells was designed for efficient cell capture using a finger-pressure induced receding meniscus.
Optimization of microwell dimensions (8 µm diameter, 8 µm depth) and cell density achieved >90% docking efficiency.
Time-course fluorescent imaging and software-aided image processing were employed to monitor cellular responses.

Main Results:

The platform successfully captured Saccharomyces cerevisiae cells in microwells with high efficiency.
Real-time monitoring of the mating MAPK pathway in response to mating pheromone was achieved.
Individual cells exhibited non-uniform signaling response kinetics, highlighting population heterogeneity.

Conclusions:

The developed microfluidic platform offers a simple, robust, and scalable solution for quantitative single-cell analyses.
This technology facilitates the study of dynamic cellular responses and signaling pathway kinetics at unprecedented resolution.
The findings underscore the importance of single-cell resolution in understanding biological variability.