Related Experiment Video
Updated: Feb 7, 2026

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Delivery of Proteins, Peptides or Cell-impermeable Small Molecules into Live Cells by Incubation with the Endosomolytic Reagent dfTAT
Published on: September 2, 2015
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A Modular In-Incubator Microscope for Longitudinal Live Cell Microscopy
Biorxiv : the Preprint Server for Biology
|February 6, 2026
Summary
We developed an automated in-incubator microscope for long-term live cell imaging. This system overcomes limitations of manual methods, enabling high-frequency, extended duration studies of dynamic biological processes.
Area of Science:
- Cell Biology
- Microscopy
- Bioengineering
Background:
- Longitudinal live cell imaging is crucial for understanding dynamic cellular changes.
- Manual microscopy is labor-intensive, limits imaging frequency, and disrupts cellular environments, hindering scalability and data quality.
- Existing automated systems often face constraints related to cost, size, and inflexibility.
Purpose of the Study:
- To present an automated, in-incubator epifluorescence microscope for long-term live cell imaging.
- To overcome the limitations of conventional and existing automated imaging platforms.
- To enable high-frequency, extended duration imaging for detailed analysis of biological processes.
Main Methods:
- Designed a modular, automated in-incubator epifluorescence microscope.
- Integrated features such as multi-fluorescence imaging, automated plate scanning, and configurable light sources.
- Positioned external electronics outside the incubator to enhance thermal stability and reliability.
Main Results:
- The system supports long-term, continuous, high-frequency live cell imaging.
- It offers compatibility with multiple plate formats and fluidic automation devices.
- Improved thermal stability and operational reliability were achieved by externalizing control components.
Conclusions:
- The developed automated microscope enables scalable, high-resolution, long-term live cell imaging.
- This platform provides rich data for quantifying time-dependent tissue phenotypes and transient biological processes.
- It represents a significant advancement for dynamic biological system characterization.
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