2019
DOI: 10.1364/ol.44.003110
|View full text |Cite
|
Sign up to set email alerts
|

Non-contact photoacoustic imaging using laser speckle contrast analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
12
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 16 publications
0
12
0
Order By: Relevance
“…To address the problem of the sample surface quality in full field imaging, a simple non-scanning speckle-based approach was proposed [96] . Indeed, surface vibration caused by US signals can be computed by calculating the contrast of the reflected speckle pattern [97] generated by a probe laser beam. The speckle pattern can be created by a diffuser positioned in the probe beam.…”
Section: Summary and Prospectsmentioning
confidence: 99%
“…To address the problem of the sample surface quality in full field imaging, a simple non-scanning speckle-based approach was proposed [96] . Indeed, surface vibration caused by US signals can be computed by calculating the contrast of the reflected speckle pattern [97] generated by a probe laser beam. The speckle pattern can be created by a diffuser positioned in the probe beam.…”
Section: Summary and Prospectsmentioning
confidence: 99%
“…When a continuous-wave laser illuminates this region, these surface deformations modulate the speckle patterns of the backscattered beam. By characterizing these patterns, information about the surface deformations, and thus the acoustic pressure, can be extracted [ [144] , [145] , [146] , [147] , [148] ].…”
Section: Non-contact Photoacoustic Signal Detectionmentioning
confidence: 99%
“…7 Speckle analysis uses changes in the interference pattern detected by a CCD camera of the reflected light to detect vibrations. 8,9 However, this method has a limited bandwidth and can be prone to noise due to spurious motions. Non-interferometric photoacoustic remote sensing is a more recent technique that has demonstrated good detection sensitivity for non-contact photoacoustic microscopy.…”
Section: Introductionmentioning
confidence: 99%