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Diffractive optical networks reconstruct holograms instantaneously without a digital computer

2 Nov | By Maxim Batalin
Diffractive optical networks reconstruct holograms instantaneously without a digital computer
Computer-Free, All-Optical Reconstruction of Holograms Using Diffractive Networks.

Since its invention by Nobel Laureate Dennis Gabor in the late 1940s, holography has found widespread use in various areas of science and engineering such as computational imaging, microscopy, sensors, displays, and interferometry. In many applications of holography, the reconstruction of holograms to retrieve the object information is generally performed using digital computers and iterative algorithms, which can be time-consuming especially if the size of the holograms increases.

In a recently published article in ACS Photonics, Professor Aydogan Ozcan and graduate student Sadman Sakib Rahman from the California NanoSystems Institute (CNSI) and the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA) presented a novel approach for computer-free, all-optical reconstruction of holograms using diffractive networks. A diffractive network is an all-optical processor, comprised of a set of spatially-engineered diffractive surfaces that collectively compute a desired transformation of an input light field through light-matter-interaction and diffraction. The spatial features of a diffractive network are trained and optimized for a given task using deep learning in a computer. After the training is complete, these diffractive surfaces can be fabricated and assembled to form a physical network that can all-optically reconstruct an input hologram of an unknown object or scene, at the speed of light and without any external power, except for the illumination light.

The entire diffractive network architecture that can reconstruct holograms all-optically is very thin and spans only ~225 times the wavelength of light. For example, using a green laser source for illumination, such a diffractive network would be as thin as a human hair, making it extremely compact and lightweight. This very thin, compact design also makes it possible to instantaneously reconstruct an object from its hologram in less than 1 picosecond, which is more than a trillion times faster compared to state-of-the-art digital hologram reconstruction algorithms that utilize graphics processing units (GPUs). 

The numerical analyses performed by UCLA researchers show that the diffractive network exhibits numerous advantages for all-optical hologram reconstruction, achieving superior image reconstruction quality, enhanced depth-of-field, and higher diffraction efficiency at the output of the diffractive processor. UCLA researchers conclude that this all-optical hologram processor can find many applications in different fields such as holographic imaging, microscopy, sensing and display related applications, especially benefiting from its computer-free operation and ultra-fast image reconstruction capability. The authors acknowledge research funding from US AFOSR.


See the article:

Md Sadman Sakib Rahman and Aydogan Ozcan, “Computer-Free, All-Optical Reconstruction of Holograms Using Diffractive Networks”, ACS Photonics, https://doi.org/10.1021/acsphotonics.1c01365


Area of application: Dentistry , Dermatology, Gastroenterology, Gynecology and Obstetrics, Human genetics, Infectious disease and antibiotic resistance, Internal medicine and general medicine, Laboratory and environmental medicine, Neurology, Neurosurgery, Oncology, Ophthalmology Diagnostics and Imaging, Otorhinolaryngology, Pathology, Pediatrics and Neonatology, Pharmacology, Pulmonology, Reproductive Medicine, Rheumatology, Surgery, Urology and Nephrology, Medicine, other applications, Cellular biotechnology, Drug delivery, Molecular diagnostics, Pharmaceuticals (development, production, monitoring), Therapeutics, Tissue enginieering, Health, other applications, Biochemistry, Cell Biology, Developmental biology, Ecology, Genetics, Human biology, Microbiology, Molecular biology, Physiology, Biology, other applications, Defense technology, Explosives detection, Personal security, Traffic/Transport, Security, other applications, Other Areas of Application
Methods and Techniques: Endoscopy, General microscopy (white light, confocal, bright field, dark field, phase contrast, DIC etc.), Linear and non-linear fluorescence imaging (confocal LSM, multi-photon, STED, PALM, STORM, SIM, FRET, FRAP, FLIM, etc.), Linear and non-linear vibrational microscopy / imaging (IR, confocal Raman, CARS, SRS etc.), Near-field microscopy (SNOM, AFM, STM, etc.), Optical Coherence Tomography (OCT ), Operating microscopy, Photoacoustic imaging (PAI, MSOT), Polarimetry, Probe and sensor development, Terahertz imaging, Thermography, Microscopy/Imaging, other methods and techniques, ATR / FTIR Spectroscopy, Coherent Back Scattering CBS, Diffuse Optics, Dynamic Light Scattering DLS, Ellipsometry, Fluorescence spectroscopy, Photoluminescence, Reflectance, Terahertz spectroscopy, UV / VIS spectroscopy, Vibrational spectroscopy (Raman, Infrared), Spectroscopy, other methods and techniques, Biochips, Bioassays, High-throughput screening, Micro-array technologies, Point-of-care, other methods and techniques, Big data, Chemometrics, Image analysis, Image processing, Digitalization, other methods and techniques, CCD and CMOS sensors and cameras, Fiber optical illumination, Functionalized fibres, Implant manufacturing, Laser , Laser-induced microdissection and catapulting of cells, Laser micromanipulation, Microstructure Fibers, Objectives, Optical clearing, Optical tweezers, Tissue separation / laser scalpels, Enabling Technologies, other methods and techniques, Other Methods and Techniques

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