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.
Advanced Materials,
Journal Year:
2018,
Volume and Issue:
31(6)
Published: Dec. 17, 2018
Abstract
Photoacoustic
(PA)
imaging
as
a
fast‐developing
technique
has
great
potential
in
biomedical
and
clinical
applications.
It
is
noninvasive
modality
that
depends
on
the
light‐absorption
coefficient
of
imaged
tissue
injected
PA‐imaging
contrast
agents.
Furthermore,
PA
provides
superb
contrast,
super
spatial
resolution,
high
penetrability
sensitivity
to
functional
characteristics
by
detecting
acoustic
wave
construct
images.
In
recent
years,
series
agents
are
developed
improve
performance
Here,
progress
their
applications
outlined.
classified
according
components
function,
gold
nanocrystals,
gold‐nanocrystal
assembly,
transition‐metal
chalcogenides/MXene‐based
nanomaterials,
carbon‐based
other
inorganic
agents,
small
organic
molecules,
semiconducting
polymer
nanoparticles,
nonlinear
discussed.
The
biosensors
(in
sensing
metal
ions,
pH,
enzymes,
temperature,
hypoxia,
reactive
oxygen
species,
nitrogen
species)
bioimaging
(lymph
nodes,
vasculature,
tumors,
brain
tissue)
discussed
detail.
Finally,
an
outlook
future
research
investigation
significance
presented.
Nature Communications,
Journal Year:
2019,
Volume and Issue:
10(1)
Published: Feb. 15, 2019
The
exciting
applications
of
molecular
motion
are
still
limited
and
in
urgent
pursuit,
although
some
fascinating
concepts
such
as
motors
machines
have
been
proposed
for
years.
Utilizing
a
nanoplatform
practical
application
has
scarcely
explored
due
to
unconquered
challenges
how
achieve
effective
the
aggregate
state
within
nanoparticles.
Here,
we
introduce
class
near
infrared-absorbing
organic
molecules
with
intramolecular
motion-induced
photothermy
inside
nanoparticles,
which
enables
most
absorbed
light
energy
dissipate
heat.
Such
property
makes
nanoparticles
superior
photoacoustic
imaging
agent
compared
widely
used
methylene
blue
semiconducting
polymer
allow
them
high-contrast
tumours
live
mice.
This
study
not
only
provides
strategy
developing
advanced
photothermal/photoacoustic
nanoagents,
but
also
find
way
application.
Journal of Biomedical Optics,
Journal Year:
2016,
Volume and Issue:
21(6), P. 061007 - 061007
Published: April 18, 2016
Photoacoustic
tomography
(PAT)
has
become
one
of
the
fastest
growing
fields
in
biomedical
optics.
Unlike
pure
optical
imaging,
such
as
confocal
microscopy
and
two-photon
microscopy,
PAT
employs
acoustic
detection
to
image
absorption
contrast
with
high-resolution
deep
into
scattering
tissue.
So
far,
been
widely
used
for
multiscale
anatomical,
functional,
molecular
imaging
biological
tissues.
We
focus
on
PAT's
basic
principles,
major
implementations,
contrasts,
recent
applications.
Chemical Society Reviews,
Journal Year:
2017,
Volume and Issue:
46(8), P. 2158 - 2198
Published: Jan. 1, 2017
Visualization
of
dynamic
functional
and
molecular
events
in
an
unperturbed
vivo
environment
is
essential
for
understanding
the
complex
biology
living
organisms
disease
state
progression.
To
this
end,
optoacoustic
(photoacoustic)
sensing
imaging
have
demonstrated
exclusive
capacity
to
maintain
excellent
optical
contrast
high
resolution
deep-tissue
observations,
far
beyond
penetration
limits
modern
microscopy.
Yet,
time
domain
paramount
observation
study
biological
interactions
that
may
be
invisible
single
snapshots
systems.
This
review
focuses
on
recent
advances
assisted
by
smart
labeling
enhancement
approaches
enable
new
types
multiscale
observations
not
attainable
with
other
bio-imaging
modalities.
A
wealth
investigated
research
topics
clinical
applications
further
discussed,
including
large-scale
brain
activity
patterns,
volumetric
visualization
moving
organs
agent
kinetics,
using
targeted
genetically
expressed
labels,
as
well
three-dimensional
handheld
diagnostics
human
subjects.
Photoacoustics,
Journal Year:
2018,
Volume and Issue:
10, P. 65 - 73
Published: June 1, 2018
Photoacoustic
tomography
(PAT)
is
a
hybrid
imaging
modality
that
combines
rich
contrast
of
optical
excitation
and
deep
penetration
ultrasound
detection.
With
its
unique
absorption
mechanism,
PAT
inherently
sensitive
to
the
functional
molecular
information
biological
tissues,
thus
has
been
widely
used
in
preclinical
clinical
studies.
Among
many
capabilities
PAT,
measuring
blood
oxygenation
arguably
one
most
important
applications,
performed
photoacoustic
studies
brain
functions,
tumor
hypoxia,
wound
healing,
cancer
therapy.
Yet,
complex
conditions
especially
strong
wavelength-dependent
attenuation,
have
long
hurdled
measurement
at
depths
beyond
few
millimeters.
A
variety
methods
developed
improve
accuracy
measurement,
using
novel
laser
illumination
schemes,
oxygen-sensitive
fluorescent
dyes,
comprehensive
mathematic
models,
or
prior
provided
by
complementary
modalities.
These
made
exciting
progress,
while
several
challenges
remain.
This
concise
review
aims
introduce
recent
developments
compare
each
method's
advantages
limitations,
highlight
their
representative
discuss
remaining
for
future
advances.
Photoacoustics,
Journal Year:
2019,
Volume and Issue:
15, P. 100141 - 100141
Published: Aug. 9, 2019
Photoacoustic
imaging
(PAI)
has
many
interesting
advantages,
such
as
deep
depth,
high
image
resolution,
and
contrast
to
intrinsic
extrinsic
chromophores,
enabling
morphological,
functional,
molecular
of
living
subjects.
microscopy
(PAM)
is
one
form
the
PAI
inheriting
its
characteristics
useful
in
both
preclinical
clinical
research.
Over
years,
PAM
systems
have
been
evolved
several
forms
each
relative
advantages
disadvantages.
Thus,
maximize
benefits
for
a
specific
application,
it
important
configure
system
optimally
by
targeting
application.
In
this
review,
we
provide
practical
methods
implementing
improve
signal-to-noise
ratio
(SNR),
speed.
addition,
review
applications
discuss
current
challenges
scope
future
developments.