iRadiology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
ABSTRACT
Alzheimer's
disease
(AD)
is
a
neurodegenerative
characterized
by
progressive
decline
in
cognitive
functions.
Given
that
AD
undermines
the
quality
of
life
for
millions
and
has
an
extended
asymptomatic
period,
exploring
full
pathogenesis
seeking
optimal
therapeutic
solution
have
become
critical
imperative.
This
allows
researchers
to
intervene,
delay,
potentially
prevent
progression.
Several
clinical
imaging
methods
are
utilized
routinely
diagnose
monitor
AD,
such
as
magnetic
resonance
(MRI),
functional
(fMRI),
positron
emission
tomography
(PET),
single
photon
computed
(SPECT).
Nevertheless,
due
their
intrinsic
drawbacks
restrictions,
radiation
concerns,
high
cost,
long
acquisition
time,
low
spatial
resolution,
applications
research
limited,
especially
at
cellular
molecular
levels.
In
contrast,
optical
microscopic
overcome
these
limitations,
offering
variety
approaches
with
distinct
advantages
explore
pathology
on
diverse
models.
this
review,
we
provide
comprehensive
overview
commonly
techniques
introduce
contributions
image
amyloid
beta
(Aβ)
species.
These
include
fluorescence
microscopy
(FM),
confocal
(CM),
two‐photon
(TPFM),
super‐resolution
(SRM),
expansion
(ExM),
light‐sheet
(LSFM).
addition,
some
related
topics,
development
near‐infrared
(NIR)
Aβ
probes,
plaque
hypothesis,
oligomer
roles
microglia
astrocytes
We
believe
continue
play
indispensable
role
deciphering
advancing
strategies.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences,
Journal Year:
2022,
Volume and Issue:
380(2220)
Published: Feb. 14, 2022
Super-resolution
microscopy
(SRM)
is
a
fast-developing
field
that
encompasses
fluorescence
imaging
techniques
with
the
capability
to
resolve
objects
below
classical
diffraction
limit
of
optical
resolution.
Acknowledged
Nobel
prize
in
2014,
numerous
SRM
methods
have
meanwhile
evolved
and
are
being
widely
applied
biomedical
research,
all
specific
strengths
shortcomings.
While
some
capable
nanometre-scale
molecular
resolution,
others
geared
towards
volumetric
three-dimensional
multi-colour
or
fast
live-cell
imaging.
In
this
editorial
review,
we
pick
on
latest
trends
field.
We
start
brief
historical
overview
both
conceptual
commercial
developments.
Next,
highlight
important
parameters
for
successfully
particular
super-resolution
modality.
Finally,
discuss
importance
reproducibility
quality
control
significance
open-source
tools
microscopy.
This
article
part
Theo
Murphy
meeting
issue
'Super-resolution
structured
illumination
(part
2)'.
Information Fusion,
Journal Year:
2023,
Volume and Issue:
103, P. 102075 - 102075
Published: Oct. 18, 2023
The
digital
transformation
in
healthcare,
propelled
by
the
integration
of
deep
learning
models
and
Internet
Things
(IoT),
is
creating
unprecedented
opportunities
for
improving
patient
care.
However,
utilization
low-resolution
images,
often
generated
IoT
devices,
introduces
biases
models,
thereby
affecting
overall
clinical
decision-making
process.
While
super-resolution
techniques
have
been
extensively
employed
to
transform
images
into
high-resolution
counterparts,
challenge
achieving
highly
accurate
image
restoration
remains
unresolved.
This
especially
critical
medical
imaging
domain,
where
even
minor
inaccuracies
can
lead
significant
model
training
and,
consequently,
impact
outcomes.
Although
existing
surveys
explored
various
methods
their
applications
across
different
fields,
a
comprehensive
review
emphasizing
accuracy
its
subsequent
influence
on
notably
lacking.
survey
seeks
bridge
this
gap
offering
systematic
current
state-of-the-art
highlighting
limitations
surveys,
underscoring
open
questions
that
merit
further
research.
Specifically,
we
delve
intricacies
restoration,
identify
research
gaps
unmet
challenges
optimal
emphasize
crucial
role
developing
more
precise
resilient
enhance
quality
performance
healthcare
applications.
Ultimately,
fosters
deeper
comprehension
prevailing
unresolved
field,
thus
setting
stage
future
efforts
focused
refining
subsequently,
boosting
efficacy
healthcare.
Genes & Development,
Journal Year:
2023,
Volume and Issue:
37(9-10), P. 354 - 376
Published: May 1, 2023
RNA
granules
are
mesoscale
assemblies
that
form
in
the
absence
of
limiting
membranes.
contain
factors
for
biogenesis
and
turnover
often
assumed
to
represent
specialized
compartments
biochemistry.
Recent
evidence
suggests
assemble
by
phase
separation
subsoluble
ribonucleoprotein
(RNP)
complexes
partially
demix
from
cytoplasm
or
nucleoplasm.
We
explore
possibility
some
nonessential
condensation
by-products
arise
when
RNP
exceed
their
solubility
limit
as
a
consequence
cellular
activity,
stress,
aging.
describe
use
evolutionary
mutational
analyses
single-molecule
techniques
distinguish
functional
"incidental
condensates."
Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
16(6), P. 709 - 709
Published: May 24, 2024
Of
all
the
numerous
nanosized
extracellular
vesicles
released
by
a
cell,
endosomal-originated
exosomes
are
increasingly
recognized
as
potential
therapeutics,
owing
to
their
inherent
stability,
low
immunogenicity,
and
targeted
delivery
capabilities.
This
review
critically
evaluates
transformative
of
exosome-based
modalities
across
pharmaceutical
precision
medicine
landscapes.
Because
precise
biomolecular
cargo
delivery,
posited
ideal
candidates
in
drug
enhancing
regenerative
strategies,
advancing
diagnostic
technologies.
Despite
significant
market
growth
projections
exosome
therapy,
its
utilization
is
encumbered
substantial
scientific
regulatory
challenges.
These
include
lack
universally
accepted
protocols
for
isolation
complexities
associated
with
navigating
environment,
particularly
guidelines
set
forth
U.S.
Food
Drug
Administration
(FDA).
presents
comprehensive
overview
current
research
trajectories
aimed
at
addressing
these
impediments
discusses
prospective
advancements
that
could
substantiate
clinical
translation
exosomal
therapies.
By
providing
analysis
both
capabilities
hurdles
therapeutic
applications,
this
article
aims
inform
direct
future
paradigms,
thereby
fostering
integration
systems
into
mainstream
practice.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Aug. 5, 2022
Abstract
Fluorescence
imaging
is
one
of
the
most
versatile
and
widely-used
tools
in
biology
1
.
Although
techniques
to
overcome
diffraction
barrier
were
introduced
more
than
two
decades
ago,
nominal
attainable
resolution
kept
improving
2,
3
,
fluorescence
microscopy
still
fails
image
morphology
single
proteins
or
small
molecular
complexes,
either
purified
a
cellular
context
4,
5
Here
we
report
solution
this
problem,
form
o
ne-step
n
anoscale
e
xpansion
(ONE)
microscopy.
We
combined
10-fold
axial
expansion
specimen
(1000-fold
by
volume)
with
fluctuation
analysis
6,
7
enable
description
cultured
cells,
tissues,
viral
particles,
complexes
proteins.
At
level,
using
immunostaining,
our
technology
revealed
detailed
nanoscale
arrangements
synaptic
proteins,
including
quasi-regular
organisation
PSD95
clusters.
molecule
upon
main
chain
fluorescent
labelling,
could
visualise
shape
individual
membrane
soluble
Moreover,
conformational
changes
undergone
∼17
kDa
protein
calmodulin
Ca
2+
binding
readily
observable.
also
imaged
classified
aggregates
cerebrospinal
fluid
samples
from
Parkinson’s
Disease
(PD)
patients,
which
represents
promising
new
development
towards
improved
PD
diagnosis.
ONE
compatible
conventional
microscopes
can
be
performed
software
provide
here
as
free,
open-source
package.
This
bridges
gap
between
high-resolution
structural
light
microscopy,
provides
avenue
for
discoveries
medicine.
Advanced Photonics,
Journal Year:
2023,
Volume and Issue:
5(06)
Published: Oct. 27, 2023
Improving
the
spatial
resolution
of
a
fluorescence
microscope
has
been
an
ongoing
challenge
in
imaging
community.
To
address
this
challenge,
variety
approaches
have
taken,
ranging
from
instrumentation
development
to
image
postprocessing.
An
example
latter
is
deconvolution,
where
images
are
numerically
deblurred
based
on
knowledge
point
spread
function.
However,
deconvolution
can
easily
lead
noise-amplification
artifacts.
Deblurring
by
postprocessing
also
negativities
or
fail
conserve
local
linearity
between
sample
and
image.
We
describe
here
simple
deblurring
algorithm
pixel
reassignment
that
inherently
avoids
such
artifacts
be
applied
general
modalities
fluorophore
types.
Our
helps
distinguish
nearby
fluorophores,
even
when
these
separated
distances
smaller
than
conventional
limit,
helping
facilitate,
for
example,
application
single-molecule
localization
microscopy
dense
samples.
demonstrate
versatility
performance
our
under
conditions.
Developmental Cell,
Journal Year:
2023,
Volume and Issue:
58(15), P. 1315 - 1332
Published: July 6, 2023
Membranes
are
essential
for
life.
They
act
as
semi-permeable
boundaries
that
define
cells
and
organelles.
In
addition,
their
surfaces
actively
participate
in
biochemical
reaction
networks,
where
they
confine
proteins,
align
partners,
directly
control
enzymatic
activities.
Membrane-localized
reactions
shape
cellular
membranes,
the
identity
of
organelles,
compartmentalize
processes,
can
even
be
source
signaling
gradients
originate
at
plasma
membrane
reach
into
cytoplasm
nucleus.
The
surface
is,
therefore,
an
platform
upon
which
myriad
processes
scaffolded.
this
review,
we
summarize
our
current
understanding
biophysics
biochemistry
membrane-localized
with
particular
focus
on
insights
derived
from
reconstituted
systems.
We
discuss
how
interplay
factors
results
self-organization,
condensation,
assembly,
activity,
emergent
properties
them.
Annual Review of Biophysics,
Journal Year:
2023,
Volume and Issue:
52(1), P. 139 - 160
Published: May 9, 2023
Super-resolution
fluorescence
microscopy
allows
the
investigation
of
cellular
structures
at
nanoscale
resolution
using
light.
Current
developments
in
super-resolution
have
focused
on
reliable
quantification
underlying
biological
data.
In
this
review,
we
first
describe
basic
principles
techniques
such
as
stimulated
emission
depletion
(STED)
and
single-molecule
localization
(SMLM),
then
give
a
broad
overview
methodological
to
quantify
data,
particularly
those
geared
toward
SMLM
We
cover
commonly
used
spatial
point
pattern
analysis,
colocalization,
protein
copy
number
but
also
more
advanced
structural
modeling,
single-particle
tracking,
biosensing.
Finally,
provide
an
outlook
exciting
new
research
directions
which
quantitative
might
be
applied.
Nature Nanotechnology,
Journal Year:
2023,
Volume and Issue:
18(4), P. 336 - 342
Published: April 1, 2023
Expansion
microscopy
physically
enlarges
biological
specimens
to
achieve
nanoscale
resolution
using
diffraction-limited
systems1.
However,
optimal
performance
is
usually
reached
laser-based
systems
(for
example,
confocal
microscopy),
restricting
its
broad
applicability
in
clinical
pathology,
as
most
centres
have
access
only
light-emitting
diode
(LED)-based
widefield
systems.
As
a
possible
alternative,
computational
method
for
image
enhancement,
namely,
super-resolution
radial
fluctuations
(SRRF)2,3,
has
recently
been
developed.
this
not
explored
pathology
date,
because
on
own,
it
does
sufficient
routine
use.
Here,
we
report
expansion-enhanced
(ExSRRF),
simple,
robust,
scalable
and
accessible
workflow
that
provides
of
up
25
nm
LED-based
microscopy.
ExSRRF
enables
molecular
profiling
subcellular
structures
from
archival
formalin-fixed
paraffin-embedded
tissues
complex
experimental
specimens,
including
ischaemic,
degenerative,
neoplastic,
genetic
immune-mediated
disorders.
Furthermore,
examples
potential
application
show
can
be
used
identify
quantify
classical
features
endoplasmic
reticulum
stress
the
murine
ischaemic
kidney
diagnostic
ultrastructural
human
biopsies.