This
study
provides
a
detailed
comparison
of
two
widely
used
Quantitative
Phase
Imaging
(QPI)
techniques:
single-shot
off-axis
Digital
Holographic
Microscopy
(DHM)
and
Lensless
(LHM).
The
primary
aim
is
to
evaluate
contrast
critical
aspects
their
imaging
performance,
including
spatial
phase
sensitivity,
measurement
accuracy,
lateral
resolution.
Employing
typical
configurations
for
both
DHM
LHM,
the
utilizes
customized
test
target
featuring
linear
changes
introduced
by
specially
designed
density
attenuation
filter.
Ground
truth
data
from
an
Atomic
Force
Microscope
incorporated
validate
experimental
findings.
comparative
analysis
reveals
that
LHM
exhibit
nearly
identical
with
demonstrating
minimal
3.2%
error
compared
LHM's
4%
in
height
accuracy.
Notably,
achieves
finer
resolution
down
3.1
µm,
surpassing
5.52
µm.
While
outperforms
precision
resolution,
latter
offers
advantages
terms
portability
cost-effectiveness.
These
findings
provide
valuable
insights
researchers
practitioners,
aiding
informed
selection
QPI
methods
based
on
specific
application
requirements.
Optics Express,
Journal Year:
2023,
Volume and Issue:
32(1), P. 742 - 742
Published: Nov. 24, 2023
Digital
in-line
holographic
microscopy
(DIHM)
enables
efficient
and
cost-effective
computational
quantitative
phase
imaging
with
a
large
field
of
view,
making
it
valuable
for
studying
cell
motility,
migration,
bio-microfluidics.
However,
the
quality
DIHM
reconstructions
is
compromised
by
twin-image
noise,
posing
significant
challenge.
Conventional
methods
mitigating
this
noise
involve
complex
hardware
setups
or
time-consuming
algorithms
often
limited
effectiveness.
In
work,
we
propose
UTIRnet,
deep
learning
solution
fast,
robust,
universally
applicable
suppression,
trained
exclusively
on
numerically
generated
datasets.
The
availability
open-source
UTIRnet
codes
facilitates
its
implementation
in
various
systems
without
need
extensive
experimental
training
data.
Notably,
our
network
ensures
consistency
reconstruction
results
input
holograms,
imparting
physics-based
foundation
enhancing
reliability
compared
to
conventional
approaches.
Experimental
verification
was
conducted
among
others
live
neural
glial
culture
migration
sensing,
which
crucial
neurodegenerative
disease
research.
Abstract
Many
clinical
procedures
and
biomedical
research
workflows
rely
on
microscopy,
including
diagnosis
of
cancer,
genetic
disorders,
autoimmune
diseases,
infections,
quantification
cell
culture.
Despite
its
widespread
use,
traditional
image
acquisition
review
by
trained
microscopists
is
often
lengthy
expensive,
limited
to
large
hospitals
or
laboratories,
precluding
use
in
point‐of‐care
settings.
In
contrast,
lensless
lensfree
holographic
microscopy
(LHM)
inexpensive
widely
deployable
because
it
can
achieve
performance
comparable
expensive
bulky
objective‐based
benchtop
microscopes
while
relying
components
that
cost
only
a
few
hundred
dollars
less.
Lab‐on‐a‐chip
integration
practical
enables
LHM
be
combined
with
single‐cell
isolation,
sample
mixing,
in‐incubator
imaging.
Additionally,
many
manual
tasks
conventional
are
instead
computational
LHM,
focusing,
stitching,
classification.
Furthermore,
offers
field
view
hundreds
times
greater
than
without
sacrificing
resolution.
Here,
the
basic
principles
summarized,
as
well
recent
advances
artificial
intelligence
enhanced
How
applied
above
applications
discussed
detail.
Finally,
emerging
applications,
high‐impact
areas
for
future
research,
some
current
challenges
facing
adoption
identified.
Optics Continuum,
Journal Year:
2024,
Volume and Issue:
3(3), P. 309 - 309
Published: Feb. 5, 2024
This
study
provides
a
detailed
comparison
of
two
widely
used
quantitative
phase
imaging
(QPI)
techniques:
single-shot
off-axis
digital
holographic
microscopy
(DHM)
and
lensless
(DLHM).
The
primary
aim
is
to
evaluate
contrast
critical
aspects
their
performance,
including
spatial
sensitivity,
measurement
accuracy,
lateral
resolution.
Employing
typical
configurations
for
both
DHM
DLHM,
the
utilizes
customized
test
target
featuring
linear
changes
introduced
by
specially
designed
density
attenuation
filter.
Ground
truth
data
from
an
atomic
force
microscope
incorporated
validate
experimental
findings.
comparative
analysis
reveals
that
DLHM
exhibit
nearly
identical
with
demonstrating
minimal
3.2%
error
compared
DLHM's
4%
in
height
accuracy.
Notably,
achieves
finer
resolution
down
3.1
µm,
surpassing
5.52
µm.
While
outperforms
precision
resolution,
latter
offers
advantages
terms
portability
cost-effectiveness.
These
findings
provide
valuable
insights
researchers
practitioners,
aiding
informed
selection
QPI
methods
based
on
specific
application
requirements.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 31, 2024
Abstract
In
this
study,
we
propose
a
new
method
for
single-shot,
high-resolution
lensless
imaging
called
double-slit
holography.
This
technique
combines
the
properties
of
in-line
and
off-axis
holography
in
one
single-shot
measurement
using
simplest
device:
plate
with
two
apertures.
holography,
plane
wave
illuminates
apertures
giving
rise
to
spherical
waves.
While
diffraction
from
sample
positioned
behind
first
aperture
(the
object
aperture)
provides
wave,
other
diffracted
second
(reference)
reference
wave.
The
resulting
interference
pattern
far-field
(hologram)
an
(or
Gabor-type)
hologram
due
added
aperture.
Both
waves
have
same
intensity,
which
ensures
high
contrast
hologram.
Due
scheme,
amplitude
phase
distributions
can
be
directly
reconstructed
hologram,
twin
image
easily
separated.
being
as
at
different
magnifications
is
similarly
done
by
simply
adjusting
aperture-to-sample
distance.
resolution
given
numerical
optical
setup
diameter
It
shown
both
theory
simulations
that
depends
on
but
does
not
depend
Light
proof-of-concept
experiments
are
provided.
proposed
particularly
practical
X-rays,
where
elements
such
beam
splitters
available
conventional
schemes
cannot
realised.
Biomedical Optics Express,
Journal Year:
2024,
Volume and Issue:
16(1), P. 222 - 222
Published: Nov. 13, 2024
A
fair
comparison
of
multiple
live
cell
cultures
requires
examining
them
under
identical
environmental
conditions,
which
can
only
be
done
accurately
if
all
cells
are
prepared
simultaneously
and
studied
at
the
same
time
place.
This
contribution
introduces
a
multiplexed
lensless
digital
holographic
microscopy
system
(MLS),
enabling
synchronous,
label-free,
quantitative
observation
with
single-cell
precision.
The
innovation
this
setup
lies
in
its
ability
to
robustly
compare
behaviour,
i.e.,
migratory
pathways,
cultured
or
contained
different
ways
(with
varied
stimuli
applied),
making
it
valuable
tool
for
dynamic
biomedical
diagnostics
on
cellular
level.
system's
design
allows
potential
expansion
accommodate
as
many
samples
needed,
thus
broadening
application
scope
future
global
multi-culture
behaviours
via
their
localized
spatiotemporal
optical
signatures.
We
believe
that
our
method
has
empower
reliable
comparisons
through
simultaneous
imaging,
enhancing
label-free
investigations
into
effects
biochemical
physical
over
large
areas,
unlocking
novel
mechanistic
understandings
high-throughput
time-lapse
observations.
Lensless
Digital
Holographic
Microscopy
(LDHM)
presents
notable
advantages,
offering
a
wide
field
of
view
(FOV)
for
imaging
with
reasonable
resolution,
achieved
through
relatively
straightforward
and
cost-effective
setup
-
typically
comprising
only
point
source
light,
sample,
camera.
These
properties,
especially
the
FOV,
make
LDHM
promising
tool
population-wise
characterization
biological
cell
cultures
single
precision.
Cell
grow
in
controlled
environment,
slightest
change
environmental
conditions
can
have
significant
impact.
The
same
principles
apply
to
imaging.
Any
alteration
process
disrupt
natural
growth
potentially
lead
false
conclusions
during
comparison
control
culture.
A
crucial
challenge
is
maintain
conditions.
To
address
this,
we
propose
novel
simultaneous
on
three
parallel
in-line
systems,
cameras
mounted
one
rail
(movable
realize
multi-height
hologram
recording
iterative
reconstruction),
all
sample
holders
second
rail,
sources
light
third
rail.
Based
collected
holograms
their
efficient
reconstruction,
it
possible
calculate
migration
parameters
such
as
average
speed
or
predefined
group
cells
(e.g.,
big
slow
cells)
statistics
regarding
number,
size
over
time.
