Quantum 3D imaging through multiscattering media of 10 optical depth

Sua, Yong Meng; Zhu, Shengyu; Rehain, Patrick; Tafone, Daniel; Muthuswamy, Bharathwaj; Ramanathan, Jeevanandha; Dickson, Ivan; Huang, Yu‐Ping

doi:10.1117/12.2560535

Cited by 4 publications

(3 citation statements)

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“…It thus has the advantages of long working distance (up to meters), very low illuminating light intensity (0.16 mW in this experiment, potentially down to a single-photon level), and non-interferometric (as no reference beam is required) and still has potential to reach large penetration depth (up to 10 OD optical depth). 9 There are two enabling techniques behind SPE. The first is single-photon vibrometry (SPV), where the dynamic speckle pattern created by an oscillating surface is measured by a single-pixel and single-photon-counting light detection and ranging.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike OCE, SPE probes the targets using picosecond pulses, collects the signals using a single-mode fiber, and detects them via quantum parametric mode sorting (QPMS). It thus has the advantages of long working distance (up to meters), very low illuminating light intensity (0.16 mW in this experiment, potentially down to a single-photon level), and non-interferometric (as no reference beam is required) and still has potential to reach large penetration depth (up to 10 OD optical depth) 9 . There are two enabling techniques behind SPE.…”

Section: Introductionmentioning

confidence: 99%

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Non-contact elasticity contrast imaging using photon counting

Zheng,

Meng Sua,

Zhu

et al. 2024

J. Biomed. Opt.

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Significance: Tissues' biomechanical properties, such as elasticity, are related to tissue health. Optical coherence elastography produces images of tissues based on their elasticity, but its performance is constrained by the laser power used, working distance, and excitation methods.Aim: We develop a new method to reconstruct the elasticity contrast image over a long working distance, with only low-intensity illumination, and by non-contact acoustic wave excitation.Approach: We combine single-photon vibrometry and quantum parametric mode sorting (QPMS) to measure the oscillating backscattered signals at a single-photon level and derive the phantoms' relative elasticity.Results: We test our system on tissue-mimicking phantoms consisting of contrast sections with different concentrations and thus stiffness. Our results show that as the driving acoustic frequency is swept, the phantoms' vibrational responses are mapped onto the photon-counting histograms from which their mechanical propertiesincluding elasticity-can be derived. Through lateral and longitudinal laser scanning at a fixed frequency, a contrast image based on samples' elasticity can be reliably reconstructed upon photon level signals. Conclusions:We demonstrated the reliability of QPMS-based elasticity contrast imaging of agar phantoms in a long working distance, low-intensity environment. This technique has the potential for in-depth images of real biological tissue and provides a new approach to elastography research and applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-contact elasticity contrast imaging using photon counting

Zheng,

Meng Sua,

Zhu

et al. 2024

J. Biomed. Opt.

Self Cite

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show abstract

“…Unlike OCE that relies on the optical interference of a probing optial beam and a local oscillator usually in continuous waves, SPE probes the targets using picosecond pulses, collects the signals using a single mode fiber, and detect them via quantum parametric mode sorting (QPMS). It thus has the advantages of very low illuminating light intensity (0.16 mW, potentially down to a single photon level), a simple setup (as no reference beam is required), and large penetration depth (up to 10 optical depth) [10].…”

Section: Introductionmentioning

confidence: 99%

Photon Counting Elastography

Huang,

Zheng,

Sua

et al. 2023

Preprint

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We demonstrate a non-contact elastography with low-intensity illumination, mode-selective single photon detection, and acoustic excitation. It probes target samples with milliwatt, picosecond laser pulses and measures the backscattered photons via quantum parametric mode sorting and upconversion detection. As the acoustic frequency is swept, the samples' vibrational responses are mapped onto the photon counting histograms from which their mechanical properties--including elasticity--can be derived. By lateral and longitudinal laser scanning at a fixed frequency, an elastogram can be reliably reconstructed upon photon level signals. This technique has the potential for remote sensing and imaging of tissues and materials with differential mechanical properties in photon starved or restricted environment.

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Single-point material recognition by quantum parametric mode sorting and photon counting

et al. 2021

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We explore an active illumination approach to remote material recognition, based on quantum parametric mode sorting and single-photon detection. By measuring a photon’s time of flight at picosecond resolution, 97.8% recognition is demonstrated by illuminating only a single point on the materials. Thanks to the exceptional detection sensitivity and noise rejection, a high recognition accuracy of 96.1% is achieved even when the materials are occluded by a lossy and multiscattering obscurant.

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Quantum 3D imaging through multiscattering media of 10 optical depth

Cited by 4 publications

References 0 publications

Non-contact elasticity contrast imaging using photon counting

Non-contact elasticity contrast imaging using photon counting

Photon Counting Elastography

Single-point material recognition by quantum parametric mode sorting and photon counting

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