From observing to predicting single-cell structure and function with high-throughput/high-content microscopy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Essays in Biochemistry Année : 2019

From observing to predicting single-cell structure and function with high-throughput/high-content microscopy

Résumé

Abstract In the past 15 years, cell-based microscopy has evolved its focus from observing cell function to aiming to predict it. In particular—powered by breakthroughs in computer vision, large-scale image analysis and machine learning—high-throughput and high-content microscopy imaging have enabled to uniquely harness single-cell information to systematically discover and annotate genes and regulatory pathways, uncover systems-level interactions and causal links between cellular processes, and begin to clarify and predict causal cellular behaviour and decision making. Here we review these developments, discuss emerging trends in the field, and describe how single-cell ‘omics and single-cell microscopy are imminently in an intersecting trajectory. The marriage of these two fields will make possible an unprecedented understanding of cell and tissue behaviour and function.
Fichier non déposé

Dates et versions

hal-04247766 , version 1 (18-10-2023)

Identifiants

Citer

Anatole Chessel, Rafael Carazo Salas. From observing to predicting single-cell structure and function with high-throughput/high-content microscopy. Essays in Biochemistry, 2019, 63 (2), pp.197-208. ⟨10.1042/EBC20180044⟩. ⟨hal-04247766⟩
8 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More