Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion.
Falk SchneiderDominic WaitheB Christoffer LagerholmDilip ShresthaErdinc SezginChristian EggelingMarco FritzschePublished in: ACS nano (2018)
Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling throughput, a necessity for dedicated equipment, sophisticated fluorescent label strategies, and limited sensitivity. Here, we introduce a robust, broadly applicable statistical analysis pipeline for large scanning fluorescence correlation spectroscopy data sets, which uncovers the nanoscale heterogeneity of the plasma membrane in living cells by differentiating free from hindered diffusion modes of fluorescent lipid and protein analogues.
Keyphrases
- living cells
- single molecule
- single cell
- fluorescent probe
- high resolution
- atomic force microscopy
- cell therapy
- electronic health record
- induced apoptosis
- quantum dots
- magnetic resonance imaging
- electron microscopy
- stem cells
- computed tomography
- signaling pathway
- small molecule
- fatty acid
- amino acid
- cell cycle arrest
- protein protein
- deep learning
- molecular docking