Abstract

High-speed and high-resolution imaging of surface profiles is critical for the investigation of various structures and mechanical dynamics of micro- and nano-scale devices. In particular, recent emergence of various nonlinear, transient and complex mechanical dynamics, such as anharmonic vibrations in mechanical resonators, has necessitated real-time surface deformation imaging with higher axial and lateral resolutions, speed, and dynamic range. However, real-time capturing of fast and complex mechanical dynamics has been challenging, and direct time-domain imaging of displacements and mechanical motions has been a missing element in studying full-field structural and dynamic behaviours. Here, by exploiting the electro-optic sampling with a frequency comb, we demonstrate a line-scan time-of-flight (TOF) camera that can simultaneously measure the TOF changes of more than 1000 spatial coordinates with hundreds megapixels/s pixel-rate and sub-nanometre axial resolution over several millimetres field-of-view. This unique combination of performances enables fast and precise imaging of both complex structures and dynamics in three-dimensional devices and mechanical resonators.

Ultrafast multidimensional imaging is made possible by the electro-optic sampling of arrival timings of multiple space-to-wavelength encoded light pulses.

Details

Title
Massively parallel electro-optic sampling of space-encoded optical pulses for ultrafast multi-dimensional imaging
Author
Na, Yongjin 1 ; Kwak, Hyunsoo 1 ; Ahn, Changmin 1 ; Lee, Seung Eon 1 ; Lee, Woojin 1 ; Kang, Chu-Shik 2 ; Lee, Jungchul 1   VIAFID ORCID Logo  ; Suh, Junho 2 ; Yoo, Hongki 1   VIAFID ORCID Logo  ; Kim, Jungwon 1   VIAFID ORCID Logo 

 Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (GRID:grid.37172.30) (ISNI:0000 0001 2292 0500) 
 Korea Research Institute of Standards and Science (KRISS), Daejeon, Korea (GRID:grid.410883.6) (ISNI:0000 0001 2301 0664) 
Pages
44
Publication year
2023
Publication date
2023
Publisher
Springer Nature B.V.
e-ISSN
20477538
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2776880151
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.