Unknown

Dataset Information

0

Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model.


ABSTRACT: We present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with external software. In this paper we present the model applied to two different samples: a glass rod filled with water-sucrose solution at different concentrations and a peripheral nerve. This work aims to understand to what extent time domain OCT can be used for non-invasive, direct optical monitoring of peripheral nerve activity.

SUBMITTER: Troiani F 

PROVIDER: S-EPMC6039043 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Simulating optical coherence tomography for observing nerve activity: A finite difference time domain bi-dimensional model.

Troiani Francesca F   Nikolic Konstantin K   Constandinou Timothy G TG  

PloS one 20180710 7


We present a finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT). The OCT output signal is created using two different simulations for the reference and sample arms, with a successive computation of the interference signal with external software. In this paper we present the model applied to two different samples: a glass rod filled with water-sucrose solution at different concentrations and a peripheral nerve. This work ai  ...[more]

Similar Datasets

| S-EPMC3372609 | biostudies-literature
| S-EPMC6704163 | biostudies-literature
| 2618337 | ecrin-mdr-crc
| S-EPMC7401960 | biostudies-literature
| S-EPMC3087827 | biostudies-literature
| S-EPMC4312390 | biostudies-literature
| S-EPMC6414735 | biostudies-literature
| S-EPMC5804304 | biostudies-literature
| S-EPMC3191496 | biostudies-literature
| S-EPMC6453465 | biostudies-literature