Large-scale polysilicon surface-micromachined spatial light modulator

Author(s):  
Clara E. Dimas ◽  
Julie Perreault ◽  
Steven Cornelissen ◽  
Harold Dyson ◽  
Peter Krulevitch ◽  
...  
1998 ◽  
Vol 213 (1) ◽  
pp. 225-232 ◽  
Author(s):  
Hirofumi Yamazaki ◽  
Tohru Matsunaga ◽  
Seiji Fukushima ◽  
Takashi Kurokawa

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Junyi Huang ◽  
Yisheng Fang ◽  
Zhichao Ruan

AbstractRecently, spatial photonic Ising machines (SPIM) have been demonstrated to compute the minima of Hamiltonians for large-scale spin systems. Here we propose to implement an antiferromagnetic model through optoelectronic correlation computing with SPIM. Also we exploit the gauge transformation which enables encoding the spins and the interaction strengths in a single phase-only spatial light modulator. With a simple setup, we experimentally show the ground-state-search acceleration of an antiferromagnetic model with 40000 spins in number-partitioning problem. Thus such an optoelectronic computing exhibits great programmability and scalability for the practical applications of studying statistical systems and combinatorial optimization problems.


2019 ◽  
Vol 44 (12) ◽  
pp. 3178 ◽  
Author(s):  
Donggyu Kim ◽  
Alexander Keesling ◽  
Ahmed Omran ◽  
Harry Levine ◽  
Hannes Bernien ◽  
...  

2018 ◽  
Author(s):  
Rui Liu ◽  
Neil Ball ◽  
James Brockill ◽  
Leonard Kuan ◽  
Daniel Millman ◽  
...  

We report a novel two-photon fluorescence microscope based on a fast-switching liquid crystal spatial light modulator and a pair of galvo-resonant scanners for large-scale recording of neural activity from the mammalian brain. The utilized imaging technique is capable of monitoring large populations of neurons spread across different layers of the neocortex in awake and behaving mice. During each imaging session, all visual stimulus driven somatic activity could be recorded in the same behavior state. We observed heterogeneous response to different types of visual stimuli from ~ 3,300 excitatory neurons reaching from layer II/III to V of the striate cortex.


2021 ◽  
Author(s):  
Zhichao Ruan ◽  
Huang Junyi ◽  
Yisheng Fang

Abstract Recently, spatial photonic Ising machines (SPIM) have been demonstrated to compute the minima of Hamiltonians for large-scale spin systems. Here we propose to implement an antiferromagnetic model through optoelectronic correlation computing with SPIM. Also we exploit the gauge transformation which enables encoding the spins and the interaction strengths in a single phase-only spatial light modulator. With a simple setup, we experimentally show the ground state search of an antiferromagnetic model with $40000$ spins in number-partitioning problem. Thus such an optoelectronic computing exhibits great programmability and scalability for the practical applications of studying statistical systems and combinatorial optimization problems.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Berk N. Gün ◽  
Emre Yüce

AbstractSpectral splitters, as well as solar concentrators, are commonly designed and optimized using numerical methods. Here, we present an experimental method to spectrally split and concentrate broadband light (420–875 nm) via wavefront shaping. We manage to spatially control white light using a phase-only spatial light modulator. As a result, we are able to split and concentrate three frequency bands, namely red (560–875 nm), green (425–620 nm), and blue (420–535 nm), to two target spots with a total enhancement factor of 715%. Despite the significant overlap between the color channels, we obtain spectral splitting ratios as 52%, 57%, and 66% for red, green, and blue channels, respectively. We show that a higher number of adjustable superpixels ensures higher spectral splitting and concentration. We provide the methods to convert an optimized phase pattern into a diffractive optical element that can be fabricated at large scale and low cost. The experimental method that we introduce, for the first time, enables the optimization and design of SpliCons, which is $$\sim 300$$ ∼ 300 times faster compared to the computational methods.


Author(s):  
Nathan J. Jenness ◽  
Daniel G. Cole ◽  
Robert L. Clark

In this paper we present a lithographic process with the ability to automatically translate and arbitrarily position three-dimensional (3D) computer-generated patterns through the use of phase holograms. This method, dynamic maskless holographic lithography (DMHL), advances current photo-directed patterning and functionalization capabilities by expanding the capability to manipulate light in real-time without the use of expensive fixed masks. The system could be used for large-scale parallel manufacturing over larger areas and for point specific serial fabrication, interrogation, and metrology. The use of coherent illumination allows for the direct creation of 3D patterns of light for lithography as opposed to the mechanical stage, layer-by-layer 3D fabrication approach typical of direct-write systems. Extrinsic control over interfacial properties will provide a method for addressing aqueous phase bionanotechnolgy experimental systems in which detection, separation, transport, and handling are vital.


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