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Video-rate multimodal multiphoton imaging and three-dimensional characterization of cellular dynamics in wounded skin.

Joanne LiMadison N WilsonAndrew J BowerMarina MarjanovicEric J ChaneyRonit BarkalifaStephen A Boppart
Published in: Journal of innovative optical health sciences (2020)
To date, numerous studies have been performed to elucidate the complex cellular dynamics in skin diseases, but few have attempted to characterize these cellular events under conditions similar to the native environment. To address this challenge, a three-dimensional (3D) multimodal analysis platform was developed for characterizing in vivo cellular dynamics in skin, which was then utilized to process in vivo wound healing data to demonstrate its applicability. Special attention is focused on in vivo biological parameters that are difficult to study with ex vivo analysis, including 3D cell tracking and techniques to connect biological information obtained from different imaging modalities. These results here open new possibilities for evaluating 3D cellular dynamics in vivo, and can potentially provide new tools for characterizing the skin microenvironment and pathologies in the future.
Keyphrases
  • wound healing
  • soft tissue
  • high resolution
  • stem cells
  • healthcare
  • pain management
  • machine learning
  • electronic health record
  • big data
  • deep learning