title: Monitoring Tissue Regeneration at Single-Cell Resolution.
abstract: For tissue regeneration researchers, seeing is believing. Here, we consider advances in genetic tools, imaging platforms, and quantification capabilities that are turning previously unattainable goals, like in toto capture of cellular and subcellular behaviors in regenerating tissues, into reality.
authors.affiliation: Department of Cell Biology, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: stefano.ditalia@duke.edu.
authors.forename: Stefano
authors.initials: S
authors.lastname: Di Talia
authors.affiliation: Department of Cell Biology, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: kenneth.poss@duke.edu.
authors.forename: Kenneth D
authors.initials: KD
authors.lastname: Poss
mesh_terms: D000818:Animals; D058948:Cell Tracking; D006801:Humans; D021621:Imaging, Three-Dimensional; D012038:Regeneration; D059010:Single-Cell Analysis / Q000379:methods*; D013347:Subcellular Fractions / Q000378:metabolism