A
superresolution
imaging
approach
that
localizes
very
small
targets,
such
as
red
blood
cells
or
droplets
of
injected
photoacoustic
dye,
has
significantly
improved
spatial
resolution
in
various
biological
and
medical
modalities.
However,
this
superior
is
achieved
by
sacrificing
temporal
because
many
raw
image
frames,
each
containing
the
localization
target,
must
be
superimposed
to
form
a
sufficiently
sampled
high-density
image.
Here,
we
demonstrate
computational
strategy
based
on
deep
neural
networks
(DNNs)
reconstruct
images
from
far
fewer
frames.
The
can
applied
for
both
3D
label-free
optical-resolution
microscopy
(OR-PAM)
2D
labeled
computed
tomography
(PACT).
For
former,
required
number
volumetric
frames
reduced
tens
than
ten.
latter,
12
fold.
Therefore,
our
proposed
method
simultaneously
(via
DNN)
method)
resolutions
tomography.
Deep-learning
powered
PA
potentially
provide
practical
tool
preclinical
clinical
studies
requiring
fast
fine
resolutions.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: March 11, 2022
Abstract
Non-invasive
visualization
of
dynamic
molecular
events
in
real-time
via
imaging
may
enable
the
monitoring
cascade
catalytic
reactions
living
systems,
however
effective
modalities
and
a
robust
reaction
system
are
lacking.
Here
we
utilize
three-dimensional
(3D)
multispectral
photoacoustic
(PA)
to
monitor
vivo
therapy
based
on
dual
enzyme-driven
cyclic
platform.
The
consists
two-dimensional
(2D)
Pd-based
nanozyme
conjugated
with
glucose
oxidase
(GOx).
combination
GOx
can
induce
PA
signal
variation
endogenous
molecules.
Combined
response
nanozyme,
simultaneously
map
3D
signals
exogenous
molecules
associated
process,
thus
providing
non-invasive
visualization.
We
also
treat
tumors
under
navigation
imaging.
Therefore,
our
study
demonstrates
imaging-guided
potential
feedback-looped
therapy.
Chemical Reviews,
Journal Year:
2023,
Volume and Issue:
123(11), P. 7379 - 7419
Published: Jan. 16, 2023
For
decades
now,
photoacoustic
imaging
(PAI)
has
been
investigated
to
realize
its
potential
as
a
niche
biomedical
modality.
Despite
highly
desirable
optical
contrast
and
ultrasonic
spatiotemporal
resolution,
PAI
is
challenged
by
such
physical
limitations
low
signal-to-noise
ratio
(SNR),
diminished
image
due
strong
attenuation,
lower-bound
on
spatial
resolution
in
deep
tissue.
In
addition,
contrast-enhanced
faced
practical
insufficient
cell-specific
targeting
delivery
efficiency
difficulties
developing
clinically
translatable
agents.
Identifying
these
essential
the
continuing
expansion
of
field,
substantial
advances
contrast-enhancing
agents,
complemented
high-performance
acquisition
systems,
have
synergistically
dealt
with
challenges
conventional
PAI.
This
review
covers
past
four
years
research
pushing
terms
SNR/contrast,
targeted
delivery,
clinical
application.
Promising
strategies
for
dealing
each
challenge
are
reviewed
detail,
future
directions
next
generation
discussed.
High-speed
high-resolution
imaging
of
the
whole-brain
hemodynamics
is
critically
important
to
facilitating
neurovascular
research.
High
speed
and
image
quality
are
crucial
visualizing
real-time
in
complex
brain
vascular
networks,
tracking
fast
pathophysiological
activities
at
microvessel
level,
which
will
enable
advances
current
queries
metabolism
research,
including
stroke,
dementia,
acute
injury.
Further,
oxygen
saturation
hemoglobin
(sO2)
can
capture
fast-paced
delivery
dynamics,
needed
solve
pertinent
questions
these
fields
beyond.
Here,
we
present
a
novel
ultrafast
functional
photoacoustic
microscopy
(UFF-PAM)
oxygenation.
UFF-PAM
takes
advantage
several
key
engineering
innovations,
stimulated
Raman
scattering
(SRS)
based
dual-wavelength
laser
excitation,
water-immersible
12-facet-polygon
scanner,
high-sensitivity
ultrasound
transducer,
deep-learning-based
upsampling.
A
volumetric
rate
2
Hz
has
been
achieved
over
field
view
(FOV)
11
×
7.5
1.5
mm3
with
high
spatial
resolution
~10
μm.
Using
system,
have
demonstrated
proof-of-concept
studies
on
mouse
brains
response
systemic
hypoxia,
sodium
nitroprusside,
stroke.
We
observed
brain's
morphological
changes
entire
cortex,
vasoconstriction,
vasodilation,
deoxygenation.
More
interestingly,
for
first
time,
FOV
micro-vessel
resolution,
captured
vasoconstriction
hypoxia
simultaneously
spreading
depolarization
(SD)
wave.
expect
new
technology
provide
great
potential
fundamental
research
under
various
pathological
physiological
conditions.
A
superresolution
imaging
approach
that
localizes
very
small
targets,
such
as
red
blood
cells
or
droplets
of
injected
photoacoustic
dye,
has
significantly
improved
spatial
resolution
in
various
biological
and
medical
modalities.
However,
this
superior
is
achieved
by
sacrificing
temporal
because
many
raw
image
frames,
each
containing
the
localization
target,
must
be
superimposed
to
form
a
sufficiently
sampled
high-density
image.
Here,
we
demonstrate
computational
strategy
based
on
deep
neural
networks
(DNNs)
reconstruct
images
from
far
fewer
frames.
The
can
applied
for
both
3D
label-free
optical-resolution
microscopy
(OR-PAM)
2D
labeled
computed
tomography
(PACT).
For
former,
required
number
volumetric
frames
reduced
tens
than
ten.
latter,
12
fold.
Therefore,
our
proposed
method
simultaneously
(via
DNN)
method)
resolutions
tomography.
Deep-learning
powered
PA
potentially
provide
practical
tool
preclinical
clinical
studies
requiring
fast
fine
resolutions.