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

Anatole Chessel, Rafael E. Carazo Salas

Research output: Contribution to journalReview article (Academic Journal)peer-review

10 Citations (Scopus)
186 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)197-208
Number of pages12
JournalEssays in Biochemistry
Volume63
Issue number2
Early online date26 Jun 2019
DOIs
Publication statusPublished - 3 Jul 2019

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