Optics and Lasers in Engineering,
Journal Year:
2022,
Volume and Issue:
161, P. 107336 - 107336
Published: Oct. 30, 2022
Fourier
lightfield
microscopy
(FLMic)
is
a
powerful
technique
to
record
3D
images
of
thick
dynamic
samples.Belonging
FLMic
the
general
class
computational
imaging
techniques,
its
efficiency
determined
by
several
factors,
like
optical
system,
calibration
process,
reconstruction
algorithm,
or
computation
architecture.In
case
and
algorithm
should
be
fully
adapted
singular
features
technique.To
this
end,
concerning
reconstruction,
we
discard
use
experimental
PSFs,
propose
synthetic
one,
which
calculated
on
basis
paraxial
optics
taking
into
account
equal
influence
diffraction
pixelation.Using
quite
simple
PSF,
performing
adequate
finally
implementing
in
GPU,
demonstrate
here
possibility
obtaining
with
good
results
terms
resolution
strong
improvement
time.In
summary,
aiming
accelerate
widespread
among
users
researchers,
are
proposing
fast
protocol
that
very
flexible
robust
against
any
slight
misalignment
change
element.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(11)
Published: March 4, 2024
Adding
a
cationic
helper
lipid
to
nanoparticle
(LNP)
can
increase
lung
delivery
and
decrease
liver
delivery.
However,
it
remains
unclear
whether
charge-dependent
tropism
is
universal
or,
alternatively,
depends
on
the
component
that
charged.
Here,
we
report
evidence
cholesterol-dependent
differ
from
lipid-dependent
tropism.
By
testing
how
196
LNPs
delivered
mRNA
22
cell
types,
found
charged
cholesterols
led
different
lung:liver
ratio
than
lipids.
We
also
combining
cholesterol
with
in
heart
as
well
several
including
stem
cell-like
populations.
These
data
highlight
utility
of
exploring
LNP
Optica,
Journal Year:
2022,
Volume and Issue:
9(9), P. 1009 - 1009
Published: Aug. 3, 2022
Fluorescence
microscopy
is
essential
to
study
biological
structures
and
dynamics.
However,
existing
systems
suffer
from
a
tradeoff
between
field-of-view
(FOV),
resolution,
complexity,
thus
cannot
fulfill
the
emerging
need
of
miniaturized
platforms
providing
micron-scale
resolution
across
centimeter-scale
FOVs.
To
overcome
this
challenge,
we
developed
Computational
Miniature
Mesoscope
(CM$^2$)
that
exploits
computational
imaging
strategy
enable
single-shot
3D
high-resolution
wide
FOV
in
platform.
Here,
present
CM$^2$
V2
significantly
advances
both
hardware
computation.
We
complement
3$\times$3
microlens
array
with
new
hybrid
emission
filter
improves
contrast
by
5$\times$,
design
3D-printed
freeform
collimator
for
LED
illuminator
excitation
efficiency
3$\times$.
reconstruction
large
volume,
develop
an
accurate
efficient
linear
shift-variant
(LSV)
model
characterizes
spatially
varying
aberrations.
then
train
multi-module
deep
learning
model,
CM$^2$Net,
using
only
3D-LSV
simulator.
show
CM$^2$Net
generalizes
well
experiments
achieves
$\sim$7-mm
800-$\mu$m
depth,
provides
$\sim$6-$\mu$m
lateral
$\sim$25-$\mu$m
axial
resolution.
This
$\sim$8$\times$
better
localization
$\sim$1400$\times$
faster
speed
as
compared
previous
model-based
algorithm.
anticipate
simple
low-cost
miniature
system
will
be
impactful
many
large-scale
fluorescence
applications.
Nature Biotechnology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 27, 2024
Abstract
Long-term
observation
of
subcellular
dynamics
in
living
organisms
is
limited
by
background
fluorescence
originating
from
tissue
scattering
or
dense
labeling.
Existing
confocal
approaches
face
an
inevitable
tradeoff
among
parallelization,
resolution
and
phototoxicity.
Here
we
present
scanning
light-field
microscopy
(csLFM),
which
integrates
axially
elongated
line-confocal
illumination
with
the
rolling
shutter
(sLFM).
csLFM
enables
high-fidelity,
high-speed,
three-dimensional
(3D)
imaging
at
near-diffraction-limit
both
optical
sectioning
low
By
simultaneous
3D
excitation
detection,
intensity
can
be
reduced
below
1
mW
mm
−
2
,
15-fold
higher
signal-to-background
ratio
over
sLFM.
We
imaged
25,000
timeframes
optically
challenging
environments
different
species,
such
as
migrasome
delivery
mouse
spleen,
retractosome
generation
liver
voltage
Drosophila
.
Moreover,
facilitates
large-scale
neural
recording
crosstalk,
leading
to
high
orientation
selectivity
visual
stimuli,
similar
two-photon
microscopy,
aids
understanding
coding
mechanisms.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: March 4, 2024
Abstract
Imaging
flow
cytometry
(IFC)
combines
and
fluorescence
microscopy
to
enable
high-throughput,
multiparametric
single-cell
analysis
with
rich
spatial
details.
However,
current
IFC
techniques
remain
limited
in
their
ability
reveal
subcellular
information
a
high
3D
resolution,
throughput,
sensitivity,
instrumental
simplicity.
In
this
study,
we
introduce
light-field
cytometer
(LFC),
an
system
capable
of
high-content,
single-shot,
multi-color
acquisition
up
5,750
cells
per
second
near-diffraction-limited
resolution
400-600
nm
all
three
dimensions.
The
LFC
integrates
optical,
microfluidic,
computational
strategies
facilitate
the
volumetric
visualization
various
characteristics
through
convenient
access
commonly
used
epi-fluorescence
platforms.
We
demonstrate
effectiveness
assaying,
analyzing,
enumerating
intricate
morphology,
function,
heterogeneity
using
phantoms
biological
specimens.
advancement
offered
by
presents
promising
methodological
pathway
for
broad
cell
translational
discoveries,
potential
widespread
adoption
biomedical
research.
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(35)
Published: Aug. 30, 2023
Fluorescence
microscopy
is
one
of
the
most
indispensable
and
informative
driving
forces
for
biological
research,
but
extent
observable
phenomena
essentially
determined
by
content
quality
acquired
images.
To
address
different
noise
sources
that
can
degrade
these
images,
we
introduce
an
algorithm
multiscale
image
restoration
through
optimally
sparse
representation
(MIRO).
MIRO
a
deterministic
framework
models
acquisition
process
uses
pixelwise
correction
to
improve
quality.
Our
study
demonstrates
this
approach
yields
remarkable
fluorescence
signal
wide
range
systems,
regardless
detector
used
(e.g.,
electron-multiplying
charge-coupled
device,
scientific
complementary
metal-oxide
semiconductor,
or
photomultiplier
tube).
improves
current
imaging
capabilities,
enabling
fast,
low-light
optical
microscopy,
accurate
analysis,
robust
machine
intelligence
when
integrated
with
deep
neural
networks.
This
expands
knowledge
be
obtained
from
microscopy.
