title: Analysis of focal adhesion turnover: a quantitative live-cell imaging example.
abstract: Recent advances in optical and fluorescent protein technology have rapidly raised expectations in cell biology, allowing quantitative insights into dynamic intracellular processes like never before. However, quantitative live-cell imaging comes with many challenges including how best to translate dynamic microscopy data into numerical outputs that can be used to make meaningful comparisons rather than relying on representative data sets. Here, we use analysis of focal adhesion turnover dynamics as a straightforward specific example on how to image, measure, and analyze intracellular protein dynamics, but we believe this outlines a thought process and can provide guidance on how to understand dynamic microcopy data of other intracellular structures.
authors: Institute of Health Biomedical Innovation (IHBI), Queensland University of Technology Translational Research Institute, Brisbane, Queensland, Australia.
authors: Samantha J
authors: SJ
authors: Stehbens
authors: Department of Cell and Tissue Biology, University of California, San Francisco, USA.
authors: Torsten
authors: T
authors: Wittmann
mesh_terms: D000465:Algorithms; D002460:Cell Line; D002465:Cell Movement; D022001:Focal Adhesions / Q000378:metabolism* / Q000648:ultrastructure; D006801:Humans; D007091:Image Processing, Computer-Assisted; D015603:Keratinocytes / Q000378:metabolism / Q000648:ultrastructure; D018613:Microscopy, Confocal; D008856:Microscopy, Fluorescence; D059010:Single-Cell Analysis
keywords: Cell migration; Curve fitting; Fluorescence microscopy; Fluorescent proteins; Focal adhesion dynamics; Image analysis; Quantitative microscopy; Spinning disk confocal microscopy