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Related Experiment Video

Updated: Sep 26, 2025

Implementation of Interference Reflection Microscopy for Label-free, High-speed Imaging of Microtubules

Implementation of Interference Reflection Microscopy for Label-free, High-speed Imaging of Microtubules

Published on: August 8, 2019

Enabling reactive microscopy with MicroMator.

Zachary R Fox^1,2,3, Steven Fletcher^1,2, Achille Fraisse^1,2

¹Inria Paris, 2 rue Simone Iff, 75012, Paris, France.

Nature Communications

|April 23, 2022

Summary

This summary is machine-generated.

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.

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Last Updated: Sep 26, 2025

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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.