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Updated: Sep 26, 2025

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Implementation of Interference Reflection Microscopy for Label-free, High-speed Imaging of Microtubules
Published on: August 8, 2019
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Enabling reactive microscopy with MicroMator
Zachary R Fox1,2,3, Steven Fletcher1,2, Achille Fraisse1,2
1Inria Paris, 2 rue Simone Iff, 75012, Paris, France.
Nature Communications
|April 23, 2022
Summary
MicroMator is a new open-source software enabling reactive microscopy experiments. This tool allows for real-time adaptation of experimental plans, enhancing microscopy research capabilities.
Area of Science:
- Microscopy
- Computational Biology
- Software Engineering
Background:
- Machine learning and computational advancements have significantly improved microscopy image analysis speed and accuracy.
- Real-time adaptation of microscopy experimental plans is crucial for observing dynamic biological systems.
Purpose of the Study:
- To introduce MicroMator, an open and flexible software for defining and driving reactive microscopy experiments.
- To facilitate the creation of experiments that can adapt in real-time based on observed data.
Main Methods:
- MicroMator provides a Python software environment with an extensible module system.
- It enables the definition of events with triggers and effects for interactive experimental control.
Main Results:
- A pedagogic example demonstrates dynamic adaptation of fluorescence illumination in bacteria.
- Two case studies in yeast showcase MicroMator's potential for single-cell control and recombination.
Conclusions:
- MicroMator supports real-time tracking and light targeting at the single-cell level.
- The software offers a flexible platform for developing sophisticated, reactive microscopy experiments.

