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Updated: Jun 7, 2025

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

A Single-Cell Interrogation System from Scratch: Microfluidics and Deep Learning.

Remy A A Ripandelli¹, Stefan H Mueller¹, Andrew Robinson¹

¹Molecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, New South Wales 2522, Australia.

The Journal of Physical Chemistry. B

|November 15, 2024

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This guide helps microbiologists build custom live-cell imaging systems using microfluidics and deep learning. It enables detailed analysis of thousands of bacterial cell cycles, making advanced microscopy accessible.

Area of Science:

Microbiology
Biotechnology
Microfluidics

Background:

Live-cell fluorescence microscopy is crucial for studying cellular processes.
Microfluidics and deep learning generate vast amounts of quantitative data.
Specialized expertise and equipment limit accessibility for many biologists.

Purpose of the Study:

To provide a guide for microbiologists to construct custom live-cell interrogation systems.
To enable the recording and analysis of thousands of bacterial cell cycles per experiment.
To make advanced live-cell imaging techniques more accessible.

Main Methods:

Designing and engineering microfluidic master molds.
Building polydimethylsiloxane (PDMS) chips for live-cell imaging.

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A Microfluidic Platform for High-throughput Single-cell Isolation and Culture

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Published on: June 16, 2016

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Last Updated: Jun 7, 2025

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

Establishing Single-Cell Based Co-Cultures in a Deterministic Manner with a Microfluidic Chip

Establishing Single-Cell Based Co-Cultures in a Deterministic Manner with a Microfluidic Chip

Published on: September 27, 2019

A Microfluidic Platform for High-throughput Single-cell Isolation and Culture

A Microfluidic Platform for High-throughput Single-cell Isolation and Culture

Published on: June 16, 2016

Utilizing deep learning for image processing algorithm development.

Main Results:

A custom-made live-cell interrogation system capable of high-throughput analysis.
Rapid extraction of quantitative information from large bacterial populations.
Demonstration of accessible, advanced live-cell imaging for microbiologists.

Conclusions:

This guide empowers microbiologists to implement advanced live-cell imaging techniques.
Custom microfluidic systems combined with deep learning enhance quantitative data acquisition.
Increased accessibility to sophisticated tools facilitates deeper understanding of bacterial cell biology.