Snapshot multispectral endomicroscopy

Authors

Ziyi Meng, Beijing University of Posts and Telecommunications
Mu Qiao, New Jersey Institute of Technology
Jiawei Ma, The Fu Foundation School of Engineering and Applied Science
Zhenming Yu, Beijing University of Posts and Telecommunications
Kun Xu, Beijing University of Posts and Telecommunications
Xin Yuan, Nokia Bell Labs

Document Type

Article

Publication Date

7-15-2020

Abstract

Multispectral endomicroscopy provides tissue functional information in addition to structural information for accurate disease diagnosis. In this Letter, we propose a snapshot multispectral endomicroscope that employs a fiber bundle to deliver an in-body tissue spatial-spectral datastream to an external compressive spectral imager. Equipped with an end-to-end deep-learning-based reconstruction algorithm, we are able to capture tissue multispectral data in video rates and reconstruct high-resolution multispectral images with up to 24 spectral channels in near-real time.

Identifier

85088243394 (Scopus)

Publication Title

Optics Letters

External Full Text Location

https://doi.org/10.1364/OL.393213

e-ISSN

15394794

ISSN

01469592

PubMed ID

32667313

First Page

3897

Last Page

3900

Issue

14

Volume

45

Grant

2019RC11

Fund Ref

National Natural Science Foundation of China

Recommended Citation

Meng, Ziyi; Qiao, Mu; Ma, Jiawei; Yu, Zhenming; Xu, Kun; and Yuan, Xin, "Snapshot multispectral endomicroscopy" (2020). Faculty Publications. 5152.
https://digitalcommons.njit.edu/fac_pubs/5152