Live cell microscopy: From image to insight.
Andreas P CunyFabian P SchlottmannJennifer C EwaldSerge PeletKurt M SchmollerPublished in: Biophysics reviews (2022)
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.
Keyphrases
- high resolution
- single molecule
- high speed
- high throughput
- single cell
- optical coherence tomography
- label free
- mass spectrometry
- living cells
- deep learning
- stem cells
- electronic health record
- magnetic resonance
- big data
- gene expression
- health information
- dna methylation
- gram negative
- mesenchymal stem cells
- machine learning
- bone marrow
- magnetic resonance imaging
- saccharomyces cerevisiae
- image quality