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Article Dans Une Revue Scientific Reports Année : 2023

Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors

Pierre-Yves Lacroix
Thierry Château
  • Fonction : Auteur
Christophe Vial
  • Fonction : Auteur

Résumé

An in situ microscope based on pulsed transmitted light illumination via optical fiber was combined to artificial-intelligence to enable for the first time an online cell classification according to well-known cellular morphological features. A 848 192-image database generated during a lab-scale production process of antibodies was processed using a convolutional neural network approach chosen for its accurate real-time object detection capabilities. In order to induce different cell death routes, hybridomas were grown in normal or suboptimal conditions in a stirred tank reactor, in the presence of substrate limitation, medium addition, pH regulation problem or oxygen depletion. Using such an optical system made it possible to monitor real-time the evolution of different classes of animal cells, among which viable, necrotic and apoptotic cells. A class of viable cells displaying bulges in feast or famine conditions was also revealed. Considered as a breakthrough in the catalogue of process analytical tools, in situ microscopy powered by artificial-intelligence is also of great interest for research.
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Origine : Publication financée par une institution

Dates et versions

hal-04337841 , version 1 (12-12-2023)

Identifiants

Citer

Jean-Sébastien Guez, Pierre-Yves Lacroix, Thierry Château, Christophe Vial. Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors. Scientific Reports, 2023, 13, pp.22045. ⟨10.1038/s41598-023-48733-x⟩. ⟨hal-04337841⟩
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