Enabling reactive microscopy with MicroMator - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2022

Enabling reactive microscopy with MicroMator

Résumé

Microscopy image analysis has recently made enormous progress both in terms of accuracy and speed thanks to machine learning methods and improved computational resources. This greatly facilitates the online adaptation of microscopy experimental plans using real-time information of the observed systems and their environments. Applications in which reactiveness is needed are multifarious. Here we report MicroMator, an open and flexible software for defining and driving reactive microscopy experiments. It provides a Python software environment and an extensible set of modules that greatly facilitate the definition of events with triggers and effects interacting with the experiment. We provide a pedagogic example performing dynamic adaptation of fluorescence illumination on bacteria, and demonstrate MicroMator’s potential via two challenging case studies in yeast to single-cell control and single-cell recombination, both requiring real-time tracking and light targeting at the single-cell level.
Fichier principal
Vignette du fichier
s41467-022-29888-z(1).pdf (2.05 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03261134 , version 1 (29-06-2021)
hal-03261134 , version 2 (15-06-2022)

Licence

Paternité

Identifiants

Citer

Zachary Fox, Steven Fletcher, Achille Fraisse, Chetan Aditya, Sebastián Sosa-Carrillo, et al.. Enabling reactive microscopy with MicroMator. Nature Communications, 2022, 13, pp.2199. ⟨10.1038/s41467-022-29888-z⟩. ⟨hal-03261134v2⟩
134 Consultations
55 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More