Imaging deep within a scattering medium using collective accumulation of single-scattered waves

Kang, Sungsam; Jeong, Seungwon; Choi, Wonjun; Ko, Hakseok; Yang, Taeseok Daniel; Joo, Jang Ho; Lee, Jae Seung; Lim, Young-Tae; Park, Q-Han; Choi, Wonshik

doi:10.1038/nphoton.2015.24

Cited by 185 publications

(148 citation statements)

References 24 publications

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“…5 In the regime where the object travels within the angular ME range (C(∆x) > 0.5), S 1 and S 2 are correlated. To highlight the impact of the degree of correlation C(∆x) on the SAC, we can mathematically represent S 2 as:…”

Section: Fig 2 Impact Of Object Travel Distance On the Computed Spementioning

confidence: 98%

“…Many approaches currently exist to filter out the multiply scattered light and detect only the unscattered (ballistic) or minimally scattered photons. These include methods such as time and coherence gating, which separate the ballistic photons from the scattered photons based on their transit time to the detector [2,3]; methods that rely on preserving the initial angular momentum or polarization modulation [4][5][6][7]; and methods that rely on spatial confinement, such as confocal and multi-photon microscopy [1,8]. An issue with methods that rely on detecting only the minimally scattered photons is the maximum achievable depth of penetration, since the chance of detecting a quasi-ballistic photon decreases exponentially with increasing depth.…”

Section: Introductionmentioning

confidence: 99%

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Imaging moving targets through scattering media

Cua¹,

Zhou²,

Yang³

2017

Opt. Express

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Optical microscopy in complex, inhomogeneous media is challenging due to the presence of multiply scattered light that limits the depths at which diffraction-limited resolution can be achieved. One way to circumvent the degradation in resolution is to use speckle-correlationbased imaging (SCI) techniques, which permit imaging of objects inside scattering media at diffraction-limited resolution. However, SCI methods are currently limited to imaging sparsely tagged objects in a dark-field scenario. In this work, we demonstrate the ability to image hidden, moving objects in a bright-field scenario. By using a deterministic phase modulator to generate a spatially incoherent light source, the background contribution can be kept constant between acquisitions and subtracted out. In this way, the signal arising from the object can be isolated, and the object can be reconstructed with high fidelity. With the ability to effectively isolate the object signal, our work is not limited to imaging bright objects in the dark-field case, but also works in bright-field scenarios, with non-emitting objects. 16. C. Ma, X. Xu, Y. Liu, and L. V. Wang, "Time-reversed adapted-perturbation (trap) optical focusing onto dynamic objects inside scattering media," Nat. Photon. 8, 931-936 (2014).

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Section: Fig 2 Impact Of Object Travel Distance On the Computed Spementioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Imaging moving targets through scattering media

Cua¹,

Zhou²,

Yang³

2017

Opt. Express

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“…Taken together, these observations confirm that the proposed method works extremely well, even in the presence of strong multiple-scattered waves. Experimental demonstration of CLASS microscopy with phantom samples To experimentally demonstrate CLASS microscopy, we upgraded the previous version of the CASS microscope 12 in two major respects. First, a water-dipping type objective lens (Nikon, CFIApo-40XW-NIR, 0.8 NA) with a twice larger numerical aperture than before was used for submicron resolution imaging.…”

Section: Theoretical Framework For Dealing With Aberrations In the Prmentioning

confidence: 99%

“…Using eigenchannels to better accumulate signal waves has been attempted, but does not guarantee aberration compensation 10,11 . In our previous work, we also reported a method termed collective accumulation of single scattering (CASS) microscopy 12 , which combined both time-gated detection and spatial input-output correlation. CASS microscopy was used to preferentially accumulate single-scattered waves, which are the waves scattered only once by the target object, but not at all by the medium.…”

mentioning

confidence: 99%

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Simultaneous Suppression of Scattering and Aberration for Ultra-high Resolution Imaging Deep Within Scattering Media

Choi¹

2017

Digital Holography and Three-Dimensional Imaging

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Thick biological tissues give rise to not only the scattering of incoming light waves, but also aberrations of the remaining unscattered waves. Due to the inability of existing optical imaging methodologies to overcome both of these problems simultaneously, imaging depth at the submicron spatial resolution has remained extremely shallow. Here we present an experimental approach for identifying and eliminating aberrations even in the presence of strong multiple light scattering. For time-gated complex-field maps of reflected waves taken over various illumination channels, we identify two sets of aberration correction maps, one for the illumination path and one for the reflection path, that can preferentially accumulate the unscattered signal waves over the multiple-scattered waves. By performing closed-loop optimization for forward and phaseconjugation processes, we demonstrated a spatial resolution of 600 nm up to the unprecedented imaging depth of 7 scattering mean free paths.Reaching the ultimate diffraction-limit spatial resolution, which is approximately half the wavelength of the light source, has been a challenging task with imaging targets embedded deep within scattering media, such as biological tissues. Multiple scattering events attenuate light waves that preserve the original incidence momenta and generate multiply scattered waves, which act as strong background noise. As target depth is increased, these combined effects lead to the exponential decrease of the signal to noise ratio (SNR)1 . Sub-micron scales of important biological

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Resource‐Saving and High‐Robustness Image Sensing Based on Binary Optical Computing

Zhou,

Li,

Zhou

et al. 2024

Laser & Photonics Reviews

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Computational imaging, as a novel technology utilizing encoded image acquisition, relies on intelligent decoding methods for effective image restoration and sensing. Optical computing‐based decoders can efficiently process and extract features from pre‐sensor information, reducing the computational burden on digital computers. However, mainstream parallel optical neural network (ONN) architectures based on wavefront propagation typically possess complex network structures and high‐precision parameters, which pose challenges in terms of precise fabrication and system calibration, as well as sensitivity to signal‐to‐noise ratios. In this work, a binary‐weighted optical computing engine is proposed with spatial multiplexing and aggregation (B‐OSMA), a large‐scale passive ONN implementation that achieves high‐efficiency image sensing. Employing B‐OSMA as an optical decoder, demonstrated image categorizing from 2% compressive is experimented sampling with 92.0% and 83.8% accuracy on MNIST and fashion‐MNIST datasets, respectively, approaching the performance of full‐precision electronic computing while reducing storage requirements by 97%. Compared to conventional ONNs with analog weights, the B‐OSMA exhibits enhanced resilience against systematic errors and ambient noise. This work represents a significant advancement towards practical applications of optical computing in image sensing.

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Imaging deep within a scattering medium using collective accumulation of single-scattered waves

Cited by 185 publications

References 24 publications

Imaging moving targets through scattering media

Imaging moving targets through scattering media

Simultaneous Suppression of Scattering and Aberration for Ultra-high Resolution Imaging Deep Within Scattering Media

Resource‐Saving and High‐Robustness Image Sensing Based on Binary Optical Computing

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