Unknown

Dataset Information

0

Tomographic fluorescence lifetime multiplexing in the spatial frequency domain.


ABSTRACT: The ability to simultaneously recover multiple fluorophores within biological tissue (multiplexing) can have important applications for tracking parallel disease processes in vivo. Here we present a novel method for rapid and quantitative multiplexing within a scattering medium, such as biological tissue, based on fluorescence lifetime contrast. This method employs a tomographic inversion of the asymptotic (late) portion of time-resolved spatial frequency (SF) domain measurements. Using Monte Carlo simulations and phantom experiments, we show that the SF-asymptotic time domain (SF-ATD) approach provides a several-fold improvement in relative quantitation and localization accuracy over conventional SF-time domain inversion. We also show that the SF-ATD approach can exploit selective filtering of high spatial frequencies to dramatically improve reconstruction accuracy for fluorophores with subnanosecond lifetimes, which is typical of most near-infrared fluorophores. These results suggest that the SF-ATD approach will serve as a powerful new tool for whole-body lifetime multiplexing.

SUBMITTER: Kumar ATN 

PROVIDER: S-EPMC6457659 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Tomographic fluorescence lifetime multiplexing in the spatial frequency domain.

Kumar Anand T N ATN   Hou Steven S SS   Rice William L WL  

Optica 20180515 5


The ability to simultaneously recover multiple fluorophores within biological tissue (multiplexing) can have important applications for tracking parallel disease processes <i>in vivo</i>. Here we present a novel method for rapid and quantitative multiplexing within a scattering medium, such as biological tissue, based on fluorescence lifetime contrast. This method employs a tomographic inversion of the asymptotic (late) portion of time-resolved spatial frequency (SF) domain measurements. Using M  ...[more]

Similar Datasets

| S-EPMC6816264 | biostudies-literature
| S-EPMC8748199 | biostudies-literature
| S-EPMC1366993 | biostudies-literature
| S-EPMC4991543 | biostudies-literature
| S-EPMC6470016 | biostudies-literature
| S-EPMC4383673 | biostudies-literature
| S-EPMC8748653 | biostudies-literature
| S-EPMC3166518 | biostudies-other