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Updated: Jun 11, 2026

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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
Published on: June 28, 2017
Microfluidics-integrated time-lapse imaging for analysis of cellular dynamics
Dirk R Albrecht1, Gregory H Underhill, Joshua Resnikoff
1Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA.
Summary
This study introduces a novel microfluidics platform for high-resolution, long-term cell imaging. The system enables detailed analysis of cellular dynamics and rare events, advancing cell biology research.
Area of Science:
- Cell Biology
- Biotechnology
- Microfluidics
Background:
- High spatio-temporal resolution imaging is crucial for understanding cellular responses.
- Existing microfluidic technologies have limitations in integrating with advanced imaging strategies.
- There is a need for higher throughput methods to analyze cellular dynamics.
Purpose of the Study:
- To develop and validate a modular, medium-throughput microfluidics platform for high-resolution time-lapse imaging of living cells.
- To integrate microfluidics with advanced microscopy for enhanced cellular analysis.
- To enable long-term observation of cellular dynamics in various microenvironments.
Main Methods:
- Paired high-resolution time-lapse imaging with microfluidic multiplexing.
- Designed a modular platform with a conserved 96-well imaging area and variable input/output channels.
- Utilized oil immersion microscopy for high numerical aperture imaging.
Main Results:
- Successfully examined cell cycle progression, mitotic kinetics, and spindle orientation dynamics in model cell lines.
- Assessed self-renewal kinetics of mouse embryonic stem cells.
- Demonstrated dynamic assessment and manipulation of stem cell proliferation, detection of rare cell events, and measurement of time-scale correlations.
Conclusions:
- The developed microfluidics-based imaging platform facilitates high-resolution, long-term cellular analysis.
- The system achieves high experimental throughput (>900 cells/experiment) for extended observation periods (up to 120 h).
- This integrated approach yields dynamic spatial and temporal information crucial for probing cellular functions.

