Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 14,
  • Issue 10,
  • pp. 101103-
  • (2016)

Power efficiency of time-stretch imaging system by using parallel interleaving detection

Not Accessible

Your library or personal account may give you access

Abstract

A 38.88 MHz time-stretch line-scan imaging system with parallel interleaving detection is experimentally demonstrated. Since only half-chromatic dispersion is used to stretch optical pulses for wavelength-to-time mapping, the power efficiency is significantly improved by 6.5 dB. Furthermore, the theoretical analysis indicates that the power loss can be efficiently reduced for scan rates less than 100 MHz. In addition, a mathematical model for signal-to-noise evaluation is derived, including amplified spontaneous emission noise in the power compensation. Thanks to the improvement of the power efficiency by using parallel interleaving detection, the signal quality is enhanced.

© 2016 Chinese Laser Press

PDF Article
More Like This
Multiwavelength time-stretch imaging system

Hongwei Chen, Cheng Lei, Fangjian Xing, Zhiliang Weng, Minghua Chen, Sigang Yang, and Shizhong Xie
Opt. Lett. 39(7) 2202-2205 (2014)

Temporally interleaved optical time-stretch imaging

Yueyun Weng, Gai Wu, Liye Mei, Qijun Wang, Keisuke Goda, Sheng Liu, and Cheng Lei
Opt. Lett. 45(8) 2387-2390 (2020)

Time-stretch high-speed microscopic imaging system based on temporally and spectrally shaped amplified spontaneous emission

Cheng Lei, Hongwei Chen, Fangjian Xing, Minghua Chen, Sigang Yang, and Shizhong Xie
Opt. Lett. 40(6) 946-949 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.