High-Resolution Holographic Microscopy Exploiting Speckle-Correlation Scattering Matrix

Baek, YoonSeok; Lee, KyeoReh; Park, YongKeun

doi:10.1103/physrevapplied.10.024053

Cited by 20 publications

(10 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…q(s) = arcsin |T n (s)| |T n (s)| max (21) and T n is the desired function to be encoded (for example Eqs. (14), (15) and (22)) and φ g is a linear phase ramp which defines the period and angle of the resulting grating.…”

Section: Modal Decompositionmentioning

confidence: 99%

“…Such wavefront sensing techniques rely on the ability to measure the phase of light which can only be indirectly inferred from intensity measurements. Methods to do so include ray tracing schemes, intensity measurements at several positions along the beam path, pyramid sensors, interferometric approaches, computational approaches, the use of non-linear optics, computer generated holograms (CGHs), meta-materials and polarimetry [8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Perhaps the most well-known is the Shack-Hartmann wavefront sensor [22,23].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High-Speed, Wavelength Invariant, Single-Pixel Wavefront Sensor With a Digital Micromirror Device

et al. 2019

View full text Add to dashboard Cite

The wavefront measurement of a light beam is a complex task, which often requires a series of spatially resolved intensity measurements. For instance, a detector array may be used to measure the local phase gradient in the transverse plane of the unknown laser beam. In most cases the resolution of the reconstructed wavefront is determined by the resolution of the detector, which in the infrared case is severely limited. Here we employ a Digital Micro-mirror Device (DMD) and a single-pixel detector (i.e. with no spatial resolution) to demonstrate the reconstruction of unknown wavefronts with excellent resolution. Our approach exploits modal decomposition of the incoming field by the DMD, enabling wavefront measurements at 4 kHz of both visible and infrared laser beams.

show abstract

Section: Modal Decompositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A High-Speed, Wavelength Invariant, Single-Pixel Wavefront Sensor With a Digital Micromirror Device

et al. 2019

View full text Add to dashboard Cite

show abstract

“…There are many existing methods to achieve high-resolution imaging, such as wavefront engineering [50], speckle correlations based on speckle correlations via non-invasive imaging through scattering layers [51,52], and a transmission matrix [53]. Recently, multiple computational imaging approaches have been demonstrated, including phase-space measurements [54,55], wavefront sensing with the Demon algorithm [56], and the speckle-correlation scattering matrix (SSM) [57,58]. For the conventional scattering media (CSM), lots of limitations still exist for practical applications in the real world, such as the stability of optical properties [59] and incomplete channel control in multiple scattering [60].…”

Section: Computational Optics Based On Metasurfacementioning

confidence: 99%

Optical MEMS

2019

View full text Add to dashboard Cite

published over 300 technical papers and 11 book chapters and holds 31 US patents. His current research interests include MEMS/NEMS, inertial sensors, microactuators, optical MEMS, optical beam steering, LiDAR, microspectrometers, and optical microendoscopy. He is a fellow of IEEE and SPIE. Frederic Zamkotsian received the Ph.D. degree in Physics in 1993 from the University of Marseilles (France). Since then, he has worked in the field of optoelectronics and semiconductor physics for optical telecommunication in France and in Japan. In 1998, he joined the Laboratoire d'Astrophysique de Marseille (LAM, Aix-Marseille University, CNRS, CNES), where he is involved in MOEMS-based astronomical instrumentation for ground-based and space telescopes, including conception and characterization of new MOEMS devices, as well as development of new instruments (principal investigator of BATMAN instrument to be placed on 4 m class telescope in 2020 and on 8 m class telescope in 2023). He has published over 200 technical papers and international conference proceedings, as well as 3 book chapters. On MOEMS, his current research interests are in programmable slits for application in multiobject spectroscopy (JWST, European networks, EUCLID, BATMAN), deformable mirrors for adaptive optics, and programmable gratings for spectral tailoring. vii micromachines EditorialOptical micro-electro-mechanical systems (MEMS), micro-opto-electro-mechanical systems (MOEMS), or optical microsystems are devices or systems that interact with light through actuation or sensing at a micron or millimeter scale. Optical MEMS have had enormous commercial success in projectors, displays, and fiber optic communications. The best known example is Texas Instruments' digital micromirror devices (DMDs). The development of optical MEMS was impeded seriously by the Telecom Bubble in 2000. Fortunately, DMDs grew their market size even in that economy downturn. Meanwhile, in the last one and half decades, the optical MEMS market has been slowly but steadily recovering. During this time span, the major technological change was the shift of thin-film polysilicon microstructures to single-crystal-silicon microstructures. Especially in the last few years, cloud data centers demand large-port optical cross connects (OXCs), autonomous driving looks for miniature light detection and ranging systems (LiDAR), and virtual reality/augmented reality (VR/AR) demands tiny optical scanners. This is a new wave of opportunities for optical MEMS. Furthermore, several research institutes around the world have been developing MOEMS devices for extreme applications (very fine tailoring of light beam in terms of phase, intensity, or wavelength) and/or extreme environments (high vacuum or cryogenic temperature) for many years.This special issue contains twelve research papers covering MEMS mirrors [1-10], MEMS variable optical attenuators (VOAs) [11], and tunable spectral filters [12]. These MEMS devices are based on three of the commonly used actuation mechanisms: electrothermal [1], ele...

show abstract

“…Secondly, it utilizes the universal statistical property of the speckle phenomenon without a priori information or volumetric data correction. Recent studies have shown that the SSM methods achieve holographic imaging and sensing through turbidity [51,52], which will pave the way for new applications in various spectral domains.…”

Section: Introductionmentioning

confidence: 99%

Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity

Baek

Lee

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

The development of optical and computational techniques has enabled imaging without the need for traditional optical imaging systems. Modern lensless imaging techniques overcome several restrictions imposed by lenses, while preserving or even surpassing the capability of lens-based imaging. However, existing lensless methods often rely on a priori information about objects or imaging conditions. Thus, they are not ideal for general imaging purposes. The recent development of the speckle-correlation scattering matrix (SSM) techniques facilitates new opportunities for lensless imaging and sensing. In this review, we present the fundamentals of SSM methods and highlight recent implementations for holographic imaging, microscopy, optical mode demultiplexing, and quantification of the degree of the coherence of light. We conclude with a discussion of the potential of SSM and future research directions.

show abstract

High-Resolution Holographic Microscopy Exploiting Speckle-Correlation Scattering Matrix

Cited by 20 publications

References 70 publications

A High-Speed, Wavelength Invariant, Single-Pixel Wavefront Sensor With a Digital Micromirror Device

A High-Speed, Wavelength Invariant, Single-Pixel Wavefront Sensor With a Digital Micromirror Device

Optical MEMS

Speckle-Correlation Scattering Matrix Approaches for Imaging and Sensing through Turbidity

Contact Info

Product

Resources

About