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Related Experiment Video

Updated: May 18, 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-content single-cell analysis on-chip using a laser microarray scanner.

Jing Zhou¹, Yu Wu, Sang-Kwon Lee

¹Department of Anesthesiology, Yale School of Medicine, New Haven, CT 06520, USA.

|September 20, 2012

Summary

This summary is machine-generated.

This study introduces a cost-effective laser scanning cytometry method using a microarray scanner for high-content cellomic analysis. This approach enhances sensitivity and dynamic range for rapid, automated cellular screening in lab-on-a-chip systems.

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Area of Science:

Biotechnology
Cell Biology
Microfluidics

Background:

High-content cellomic analysis enables rapid screening of cellular responses and intracellular pathways.
Microfluidics integrated with cellomics offers potential for high-throughput cellular analysis.
Current high-content imaging instruments are expensive and not widely accessible.

Purpose of the Study:

To develop an accessible and cost-effective method for high-content cellomic analysis.
To demonstrate the utility of a laser microarray scanner for automated cellular imaging and analysis.
To improve the sensitivity and dynamic range of cellular analysis compared to conventional microscopy.

Main Methods:

Utilized a bench-top microarray scanner for laser scanning cytometry.
Developed rapid and automated fluorescence imaging of cells cultured on a chip.
Applied high-content imaging analysis algorithms for multiplexed measurements of cellular parameters.

Main Results:

Achieved multiplexed measurements of morphometric and proteomic parameters from single cells.
Demonstrated a two-order-of-magnitude improvement in sensitivity and dynamic range over epifluorescence microscopy.
Successfully applied the technology to analyze mesenchymal stem cells and heterotypic cell populations.

Conclusions:

A laser microarray scanner is feasible for high-content cellomic analysis.
This approach offers enhanced sensitivity and dynamic range for cellular analysis.
Opens new avenues for informative cellular analysis and screening in lab-on-a-chip systems.