MicroMator: Open and Flexible Software for Reactive Microscopy

Zachary Fox (1, 2) , Steven Fletcher (1) , Achille Fraisse (1) , Chetan Aditya (1) , Sebastián Sosa-Carrillo (1) , Sébastien Gilles (3) , François Bertaux (1) , Jakob Ruess (1) , Gregory Batt (1)

1 InBio - InBio - Méthodes Expérimentales et Computationnelles pour la Modélisation des Processus Cellulaires / Experimental and Computational Methods for Modeling Cellular Processes
2 LANL - Los Alamos National Laboratory
3 SED [Saclay] - Service Expérimentation et Développement

Abstract Microscopy image analysis has recently made enormous progress both in terms of accuracy and speed thanks to machine learning methods. This greatly facilitates the online adaptation of microscopy experimental plans using real-time information of the observed systems and their environments. Here we report MicroMator, an open and flexible software for defining and driving reactive microscopy experiments, and present applications to single-cell control and single-cell recombination.

Domaines: Bio-Informatique, Biologie Systémique [q-bio.QM]

Zachary Fox, Steven Fletcher, Achille Fraisse, Chetan Aditya, Sebastián Sosa-Carrillo, et al.. MicroMator: Open and Flexible Software for Reactive Microscopy. 2021. ⟨hal-03261134v1⟩