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Live cell microscopy: From image to insight
Author(s) -
Andreas P. Cuny,
Fabian P. Schlottmann,
Jennifer C. Ewald,
Serge Pelet,
Kurt M. Schmoller
Publication year - 2022
Publication title -
biophysics reviews
Language(s) - English
Resource type - Journals
ISSN - 2688-4089
DOI - 10.1063/5.0082799
Subject(s) - computer science , data science , focus (optics) , live cell imaging , key (lock) , nanotechnology , biology , cell , physics , optics , materials science , computer security , genetics
Live-cell microscopy is a powerful tool that can reveal cellular behavior as well as the underlying molecular processes. A key advantage of microscopy is that by visualizing biological processes, it can provide direct insights. Nevertheless, live-cell imaging can be technically challenging and prone to artifacts. For a successful experiment, many careful decisions are required at all steps from hardware selection to downstream image analysis. Facing these questions can be particularly intimidating due to the requirement for expertise in multiple disciplines, ranging from optics, biophysics, and programming to cell biology. In this review, we aim to summarize the key points that need to be considered when setting up and analyzing a live-cell imaging experiment. While we put a particular focus on yeast, many of the concepts discussed are applicable also to other organisms. In addition, we discuss reporting and data sharing strategies that we think are critical to improve reproducibility in the field.

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