We present a deep learning-based methodology to enable simultaneous spectral and lifetime unmixing for quantitative multiplexed imaging. We demonstrate the approach’s performance both in silico (tri/quadri-specie retrieval) and experimentally (in vitro and in vivo).
© 2020 The Author(s)
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
Login to access OSA Member Subscription