Fast topographic optical imaging using encoded search focal scan
Narcís Vilar,
No information about this author
Roger Artigas,
No information about this author
Martí Duocastella
No information about this author
et al.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 7, 2024
Abstract
A
central
quest
in
optics
is
to
rapidly
extract
quantitative
information
from
a
sample.
Existing
topographical
imaging
tools
allow
non-contact
and
three-dimensional
measurements
at
the
micro
nanoscales
are
essential
applications
including
precision
engineering
optical
quality
control.
However,
these
techniques
involve
acquiring
focal
stack
of
images,
time-consuming
process
that
prevents
measurement
moving
samples.
Here,
we
propose
method
for
increasing
speed
topographic
by
orders
magnitude.
Our
approach
involves
collecting
reduced
set
each
integrated
during
full
scan,
whilst
illumination
synchronously
modulated
exposure.
By
properly
designing
modulation
sequence
image,
unambiguous
reconstruction
object
height
map
achieved
using
far
fewer
images
than
conventional
methods.
We
describe
theoretical
foundations
our
technique,
characterise
its
performance,
demonstrate
sub-micrometric
over
100
µm
range
static
dynamic
systems
rates
as
high
67
topographies
per
second,
limited
camera
frame
rate.
The
technique
ease
implementation
could
enable
paradigm
shift
metrology,
allowing
real-time
characterisation
large
or
Language: Английский
Prediction of mechanical properties of LPBF built part based on process monitoring and Gaussian process regression
Measurement Science and Technology,
Journal Year:
2024,
Volume and Issue:
35(8), P. 085603 - 085603
Published: April 25, 2024
Abstract
As
a
highly
promising
technology
in
additive
manufacturing,
the
laser
powder
bed
fusion
has
only
limited
application
due
to
its
low
reproducibility.
In
this
study,
image
information
of
316L
specimen
after
scanning
and
paving
each
layer
was
acquired
by
complementary
metal–oxide–semiconductor
industrial
camera.
The
important
features
were
selected,
extracted
quantificated
analyzing
tensile
test
results.
Finally,
combined
with
power,
quantified
as
input
Gaussian
process
regression
model
based
on
optimization
algorithm
grid
search
predict
strength
specimen.
results
show
that
quantized
have
significant
improvement
effect,
coefficient
determination
(
R
2
)
is
improved
from
63%
90.57%
compared
using
power
input.
Language: Английский
Sparse domain robust denoising method in optically-sectioned structured illumination microscopy for complex surface measurement
Optics and Lasers in Engineering,
Journal Year:
2024,
Volume and Issue:
180, P. 108338 - 108338
Published: May 29, 2024
Language: Английский
Scan-less microscopy based on acousto-optic encoded illumination
Nanophotonics,
Journal Year:
2024,
Volume and Issue:
13(1), P. 63 - 73
Published: Jan. 1, 2024
Abstract
Several
optical
microscopy
methods
are
now
available
for
characterizing
scientific
and
industrial
processes
at
sub-micron
resolution.
However,
they
often
ill-suited
imaging
rapid
events.
Limited
by
the
trade-off
between
camera
frame-rate
sensitivity,
or
need
mechanical
scanning,
current
microscopes
optimized
hundreds
of
frames-per-second
(fps),
well-below
what
is
needed
in
such
as
neuronal
signaling
moving
parts
manufacturing
lines.
Here,
we
present
a
scan-less
technology
that
allows
sub-micrometric
thousands
fps.
It
based
on
combining
single-pixel
with
parallelized
encoded
illumination.
We
use
two
acousto-optic
deflectors
(AODs)
placed
Mach–Zehnder
interferometer
drive
them
simultaneously
multiple
unique
acoustic
frequencies.
As
result,
orthogonal
light
stripes
obtained
interfere
sample
plane,
forming
two-dimensional
array
flickering
spots
–
each
its
modulation
frequency.
The
from
collected
single
photodiode
that,
after
spectrum
analysis,
image
reconstruction
speeds
only
limited
AOD’s
bandwidth
laser
power.
describe
working
principle
our
approach,
characterize
performance
function
number
pixels
up
to
400
×
dynamic
events
5000
Language: Английский
Novel chromatic focus variation microscopy for surface metrology
Aalim M. Mustafa,
No information about this author
Hussam Muhamedsalih,
No information about this author
Dawei Tang
No information about this author
et al.
Optics Express,
Journal Year:
2024,
Volume and Issue:
32(20), P. 35527 - 35527
Published: Aug. 27, 2024
Optical
metrology
plays
a
vital
role
in
wide
range
of
research
and
inspection
areas
the
industry.
At
present,
market
offers
variety
optical
instruments,
among
which
focus
variation
microscope
stands
out
for
its
capability
measuring
steep
surfaces
with
high
slopes.
The
traditional
(FV)
instrument
mechanically
scans
surface
by
sweeping
focal
plane
objective
lens
using
linear
motion
stages
simultaneously
capturing
images
at
different
scanning
positions,
forming
stack
images.
mechanical
require
regular
maintenance
calibration
to
ensure
accuracy
over
time.
Another
issue
associated
methods
is
their
physical
size,
creates
limiting
factor
compactness
in-situ
measurement
applications.
This
work
proposes
chromatic
(CFV)
method
that
replaces
wavelength
mechanism
overcome
above
limitations.
Unlike
variation,
CFV
system
employs
dispersive
(i.e.
chromatically
aberrated
lens)
axially
shift
along
axis
provide
vertical/depth
scanning.
approach
brings
significant
enhancements
speed
reduces
size
on-machine
tasks.
In
this
paper,
detailed
analysis
performance
conducted,
then
proposed
validated
samples
including
step
height
30
µm
sine
wave
shape
peak-to-valley
amplitude
19
µm.
experiment
results
were
compared
those
from
state-of-the-art
commercial
(Alicona
G5),
showed
good
agreement
between
two.
Furthermore,
discussions
are
provided
investigate
measurement’s
accuracy.
Language: Английский
Investigation of Focus Variation Microscopy Immunity to Vibrations
Aalim M. Mustafa,
No information about this author
Hussam Muhamedsalih,
No information about this author
Dawei Tang
No information about this author
et al.
Precision Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Language: Английский
Robust measurement of surface topography for additive manufacturing using imaging confocal microscopy
Narcís Vilar,
No information about this author
Roger Artigas,
No information about this author
Martí Duocastella
No information about this author
et al.
Published: Aug. 15, 2023
Additive
manufacturing
(AM)
has
brought
a
new
level
of
innovation
to
the
production
metal
parts,
allowing
for
greater
design
freedom
and
on-demand
fabrication
capabilities.
However,
measurement
resulting
surface
texture
increased
difficulties.
Whilst
optical
techniques
provide
fast
measurements,
high
irregularities,
large
range
scales
features,
variations
in
reflectivity
largely
compromise
performance.
In
practice,
conventional
systems
have
an
insufficient
field-of-view
(FOV)
or
produce
excessive
amount
artifacts.
We
present
system
optimized
measure
AM
featuring
sufficiently
wide
capture
interest,
numerical
aperture
(NA).
integrated
commercially
available
objective
(SHR
Plan
Apo
2×,
Nikon)
with
custom-designed
tube
lens
measuring
head,
achieving
magnification
4.2×
effective
NA
0.26.
The
implements
confocal-like
HiLo
technique,
we
experimentally
demonstrate
successful
characterisation
parts.
Furthermore,
report
discuss
6×/0.45
microscope
objective,
great
promise
Additionally,
explore
dynamic
(HDR)
approaches
tackle
issue
variation.
Multiple
low
images
taken
at
illumination
intensities
are
combined
reconstruct
single
topography
map.
all,
combination
system,
capable
capturing
scale
spatial
HDR
capability
offers
versatile
solution
that
can
be
used
variety
scientific
industrial
contexts.
Language: Английский
Sparse Domain Robust Denoising Pipeline in Optically-Sectioned Structured Illumination Microscopy for Complex Surface Measurement
Published: Jan. 1, 2023
With
rapid
advancements
in
precision
micro/nano-systems
across
various
industries,
the
increasing
complexity
of
product
surfaces
(e.g.,
high
surface
slope,
large
reflectivity
differences,
or
roughness)
poses
low
signal-to-noise
(SNR)
challenges
for
reliable
three-dimensional
measurements.
While
optically
sectioned
structured
illumination
microscopy
offers
good
adaptability
to
features,
its
measurement
performance
on
complex
is
still
hindered
by
noise,
massive
outliers,
and
non-measurement
point
problems.
In
this
paper,
we
introduce
a
novel
sparse
domain
robust
denoising
pipeline
OS-SIM
address
low-SNR
measurement.
Specifically,
our
approach
divides
process
into
two
distinct
paths:
low-frequency
path
focuses
exploring
intrinsic
sparsity
nonlocal
self-similarity
image
minimize
noise
signals
an
artifact-free
manner,
whereas
complementary
high-frequency
utilizes
modulation-contrast-based
weighting
algorithm
provide
clean
signals.
Finally,
fusing
from
both
paths,
obtain
nearly
full-resolution
images.
Measurement
experiments
test
samples
demonstrate
efficiency
consistently
reconstruction
quality
proposed
method
different
topographies.
Language: Английский
Areal surface measurement using chromatic focus variation
Aalim M. Mustafa,
No information about this author
Hussam Muhamedsalih,
No information about this author
Dawei Tang
No information about this author
et al.
Published: Oct. 20, 2023
Optical
metrology
is
an
essential
measurement
technology
across
various
research
and
inspection
domains.
Focus
variation
instruments
are
widely
used
in
the
industry
due
to
their
ability
measure
steep
high-slope
surfaces.
The
focus
method
extracts
areal
surface
map
by
analysing
neighbouring
pixels'
contrast
determine
image
position
a
stack
of
images.
Traditional
mechanically
scan
sample
attaching
objective
lens
piezoelectric
actuator
(PZT)
for
capture.
slow
mechanical
movement
PZT
poses
limitation
fast
modern
advanced
manufacturing
applications.
Additionally,
PZTs'
bulky
mass
size,
nonlinear
hysteresis
motion
other
issues
associated
with
scanning
process.
To
address
these
limitations,
we
present
chromatic
approach
that
replaces
wavelength
mechanism.
system
employs
determines
axially
shifting
light
source
without
any
movement.
This
paper
presents
30
µm
step
height
using
proposed
system.
results
show
capable
measurements,
but
current
version
has
low
vertical
resolution,
which
should
be
enhanced
future
versions.
Language: Английский