Optics Letters,
Год журнала:
2024,
Номер
49(10), С. 2853 - 2853
Опубликована: Апрель 9, 2024
Because
of
their
ultra-light,
ultra-thin,
and
flexible
design,
metalenses
exhibit
significant
potential
in
the
development
highly
integrated
cameras.
However,
performances
metalens-integrated
camera
are
constrained
by
fixed
architectures.
Here
we
proposed
a
high-quality
imaging
method
based
on
deep
learning
to
overcome
this
constraint.
We
employed
multi-scale
convolutional
neural
network
(MSCNN)
train
an
extensive
pair
low-quality
images
obtained
from
model.
Through
our
method,
resolution,
contrast,
distortion
have
all
been
improved,
resulting
noticeable
overall
image
quality
with
SSIM
over
0.9
improvement
PSNR
3
dB.
Our
approach
enables
cameras
combine
advantages
high
integration
enhanced
performances,
revealing
tremendous
for
future
groundbreaking
technology.
Science,
Год журнала:
2023,
Номер
381(6659), С. 766 - 771
Опубликована: Авг. 17, 2023
Superlenses
made
of
plasmonic
materials
and
metamaterials
can
image
features
at
the
subdiffraction
scale.
However,
intrinsic
losses
impose
a
serious
restriction
on
imaging
resolution,
problem
that
has
hindered
widespread
applications
superlenses.
Optical
waves
complex
frequency
exhibit
temporally
attenuating
behavior
have
been
proposed
to
offset
in
superlenses
through
introduction
virtual
gain,
but
experimental
realization
lacking
because
difficulty
measurements
with
temporal
decay.
In
this
work,
we
present
multifrequency
approach
constructing
synthetic
excitation
based
real
frequencies.
This
allows
us
implement
gain
experimentally
observe
deep-subwavelength
images.
Our
work
offers
practical
solution
overcome
systems
for
sensing
applications.
Light Science & Applications,
Год журнала:
2024,
Номер
13(1)
Опубликована: Янв. 22, 2024
Abstract
Dielectric
metasurfaces,
composed
of
planar
arrays
subwavelength
dielectric
structures
that
collectively
mimic
the
operation
conventional
bulk
optical
elements,
have
revolutionized
field
optics
by
their
potential
in
constructing
high-efficiency
and
multi-functional
optoelectronic
systems
on
chip.
The
performance
a
metasurface
is
largely
determined
its
constituent
material,
which
highly
desired
to
high
refractive
index,
low
loss
wide
bandgap,
at
same
time,
be
fabrication
friendly.
Here,
we
present
new
material
platform
based
tantalum
pentoxide
(Ta
2
O
5
)
for
implementing
high-performance
over
ultraviolet
visible
spectral
region.
This
wide-bandgap
dielectric,
exhibiting
index
exceeding
2.1
negligible
extinction
coefficient
across
broad
spectrum,
can
easily
deposited
large
areas
with
good
quality
using
straightforward
physical
vapor
deposition,
patterned
into
high-aspect-ratio
nanostructures
through
commonly-available
fluorine-gas-based
reactive
ion
etching.
We
implement
series
metasurfaces
representative
light-field
modulation
functionalities
including
polarization-independent
high-numerical-aperture
lensing,
spin-selective
hologram
projection,
vivid
structural
color
generation,
devices
exhibit
operational
efficiencies
up
80%.
Our
work
overcomes
limitations
faced
scalability
commonly-employed
dielectrics
range,
provides
novel
route
towards
realization
high-performance,
robust
foundry-manufacturable
optics.
Opto-Electronic Advances,
Год журнала:
2024,
Номер
7(2), С. 230171 - 230171
Опубликована: Янв. 1, 2024
Tunable
Airy
beams
with
controllable
propagation
trajectories
have
sparked
interest
in
various
fields,
such
as
optical
manipulation
and
laser
fabrication.
Existing
research
approaches
encounter
challenges
related
to
insufficient
compactness
integration
feasibility,
or
they
require
enhanced
tunability
enable
real-time
dynamic
of
the
trajectory.
In
this
work,
we
present
a
novel
method
that
utilizes
dual
metasurface
system
surpass
these
limitations,
significantly
enhancing
practical
potential
beam.
Our
approach
involves
encoding
cubic
phase
profile
two
off-axis
Fresnel
lens
profiles
across
metasurfaces.
The
validity
proposed
strategy
has
been
confirmed
through
simulation
experimental
results.
meta-device
addresses
existing
limitations
lays
foundation
for
broadening
applicability
diverse
domains,
encompassing
light-sheet
microscopy,
fabrication,
tweezers,
etc.
Opto-Electronic Science,
Год журнала:
2024,
Номер
3(9), С. 230033 - 230033
Опубликована: Янв. 1, 2024
The
increasing
popularity
of
the
metaverse
has
led
to
a
growing
interest
and
market
size
in
spatial
computing
from
both
academia
industry.
Developing
portable
accurate
imaging
depth
sensing
systems
is
crucial
for
advancing
next-generation
virtual
reality
devices.
This
work
demonstrates
an
intelligent,
lightweight,
compact
edge-enhanced
perception
system
that
utilizes
binocular
meta-lens
computing.
miniaturized
comprises
meta-lens,
532
nm
filter,
CMOS
sensor.
For
disparity
computation,
we
propose
stereo-matching
neural
network
with
novel
H-Module.
H-Module
incorporates
attention
mechanism
into
Siamese
network.
symmetric
architecture,
cross-pixel
interaction
cross-view
interaction,
enables
more
comprehensive
analysis
contextual
information
stereo
images.
Based
on
intensity
discontinuity,
edge
enhancement
eliminates
ill-posed
regions
image
where
ambiguous
predictions
may
occur
due
lack
texture.
With
assistance
deep
learning,
our
provides
prompt
responses
less
than
0.15
seconds.
will
significantly
contribute
3D
scene
modeling,
machine
vision,
autonomous
driving,
robotics
development.
Abstract
Optical
encryption
plays
an
increasingly
important
role
in
the
field
of
information
security
owing
to
its
parallel
processing
capability
and
low
power
consumption.
Employing
ultrathin
metasurfaces
optical
has
promoted
miniaturization
multifunctionality
systems.
Nevertheless,
with
few
number
degrees
freedom
(DoFs)
multiplexed
by
single
metasurface,
both
key
space
encoding
are
limited.
To
address
this
issue,
we
propose
a
high-security
large-capacity
scheme
based
on
perfect
high-dimensional
Poincaré
beams
expanded
DoFs.
By
cascading
two
arrayed
metasurfaces,
more
beam
properties
can
be
independently
engineered,
which
gives
rise
extensively
spaces.
Our
work
provides
promising
strategy
for
high
level
large
capacity
might
facilitate
applications
communications
quantum
information.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 2, 2025
Optical
neural
networks
are
considered
next-generation
physical
implementations
of
artificial
networks,
but
their
capabilities
limited
by
on-chip
integration
scale
and
requirement
for
coherent
light
sources.
This
study
proposes
a
spectral
convolutional
network
(SCNN)
with
matter
meta-imaging.
The
optical
layer
is
implemented
integrating
very
large-scale
pixel-aligned
filters
on
CMOS
image
sensor.
It
facilitates
highly
parallel
vector-inner
products
incident
incoherent
natural
i.e.,
the
direct
information
carrier,
which
empowers
in-sensor
analog
computing
at
extremely
high
energy
efficiency.
To
best
our
knowledge,
this
first
integrated
utilizing
light.
We
employ
same
SCNN
chip
completely
different
real-world
complex
tasks
achieve
accuracies
over
96%
pathological
diagnosis
almost
100%
face
anti-spoofing
video
rates.
These
results
indicate
feasible
scalable
edge
various
portable
terminals.
have
been
successfully
realized
level,
yet
to
operate
it
requires
Here,
authors
proposed
based
combining
sensor
facilitate
from
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 17, 2025
This
research
presents
the
design
and
analysis
of
a
compact
metamaterial
(MTM)-based
star-shaped
split-ring
resonator
(SRR)
enclosed
in
square,
constructed
on
cost-effective
substrate
for
liquid
chemical
sensing
applications.
The
designed
structure
has
dimensions
10
×
mm2
is
optimized
detecting
adulteration
edible
oils.
When
sample
holder
filled
with
different
percentages
oil
samples,
resonance
frequency
MTM-based
SRR
sensor
shift
significantly.
measured
results
demonstrate
that
proposed
superior
terms
sensitivity
quality
factor
compared
to
studies
literature.
shows
performance
(Q-factor)
existing
sensors
It
exhibits
remarkable
0.92
760
MHz
detection,
which
higher
than
shifts
ranging
from
140
600
reported
previous
studies.
Additionally,
high
Q-factor
149,
indicating
its
efficiency
determining
error
rate
minimal
at
3.1%,
significant
improvement
over
prior
sensors,
have
rates
as
8%.
These
enhancements
highlight
sensor's
potential
applications
requiring
precise,
efficient,
detection
adulteration,
thus
offering
advancement
both
practical
utility
traditional
methods.