Compressive Video Microscope Via Structured Illumination

Creator

Xin Yuan, Nokia Bell Labs
Shuo Pang, University of Central Florida

Keywords

Compressive sensing; Microscope; Structured illumination; Total variation; Video compressive sensing

Abstract

A compressive video microscope based on structured illumination is built. The source-side illumination coding scheme allows the emission photons being collected by the full aperture of the microscope objective, and thus is suitable for the fluorescence readout mode. A block-wise total variation algorithm has been proposed to address the mismatch between the illumination pattern size and the detector pixel size. Image sequences with a temporal compression ratio of 4:1 are demonstrated.

Publication Date

8-3-2016

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

2016-August

Number of Pages

1589-1593

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2016.7532626

Copyright Status

Unknown

Socpus ID

85006762178 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85006762178

STARS Citation

Yuan, Xin and Pang, Shuo, "Compressive Video Microscope Via Structured Illumination" (2016). Scopus Export 2015-2019. 4279.
https://stars.library.ucf.edu/scopus2015/4279