2019
DOI: 10.1364/oe.27.002085
|View full text |Cite
|
Sign up to set email alerts
|

Tunable lenses: dynamic characterization and fine-tuned control for high-speed applications

Abstract: Tunable lenses are becoming ubiquitous, in applications including microscopy, optical coherence tomography, computer vision, quality control, and presbyopic corrections. Many applications require an accurate control of the optical power of the lens in response to a time-dependent input waveform. We present a fast focimeter (3.8 KHz) to characterize the dynamic response of tunable lenses, which was demonstrated on different lens models. We found that the temporal response is repetitive and linear, which allowed… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
31
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

4
2

Authors

Journals

citations
Cited by 29 publications
(31 citation statements)
references
References 36 publications
(48 reference statements)
0
31
0
Order By: Relevance
“…5) of the tunable lens to stay within 2% of the steady-state value (1 D), was found to be 9.56 ms from focimeter measurements. The focus measurements and the unit impulse response estimation were found to be highly repeatable [19].…”
Section: Estimating the Unit Impulse Response Functionmentioning
confidence: 93%
See 4 more Smart Citations
“…5) of the tunable lens to stay within 2% of the steady-state value (1 D), was found to be 9.56 ms from focimeter measurements. The focus measurements and the unit impulse response estimation were found to be highly repeatable [19].…”
Section: Estimating the Unit Impulse Response Functionmentioning
confidence: 93%
“…Focimeter-measured unit step response functions corresponding to 17 square input waves of different magnitude (0.75 D to 4.75 D in steps of 0.25 D, starting at 0 D for each measurement) were found to have little dependence on the magnitude of the input square waves (see Fig. 5), as evident from the low standard deviation [19]. Therefore, it was reasonable to assume a linear relationship between the magnitude of the square wave and the corresponding step response.…”
Section: Estimating the Unit Impulse Response Functionmentioning
confidence: 99%
See 3 more Smart Citations