Using
sequential
excitation
with
a
minimum
of
light
to
localize
single
fluorescent
molecules
represented
breakthrough
because
it
delivers
1-2
nm
precision
moderate
photon
counts,
enabling
tracking
and
super-resolution
imaging
true
molecular
resolution.
Expanding
this
concept
multi-photon
regimes
may
be
useful
complement
reach
even
higher
localization
get
deeper
into
biological
specimens.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Sept. 20, 2023
Planar
diffractive
lenses
(PDLs)
with
optimized
but
disordered
structures
can
focus
light
beyond
the
diffraction
limit.
However,
these
have
inevitably
destroyed
wide-field
imaging
capability,
limiting
their
applications
in
microscopy.
Here,
we
introduce
information
entropy
S
to
evaluate
disorder
of
an
objective
chip
by
using
probability
its
structural
deviation
from
standard
Fresnel
zone
plates.
Inspired
theory
change,
predict
equilibrium
point
[Formula:
see
text]
balance
(theoretically
evaluated
Strehl
ratio)
and
subdiffraction-limit
focusing.
To
verify
this,
a
record-long
focal
length
1
mm
is
designed
text],
which
nearest
among
all
reported
PDLs.
Consequently,
our
fabricated
size
0.44
λ
image
fine
details
spatial
frequencies
up
4000
lp/mm
experimentally.
These
unprecedented
performances
enable
ultracompact
reflective
confocal
microscopy
for
superresolution
imaging.
Microscopy Research and Technique,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
ABSTRACT
MINFLUX
nanoscopy
relies
on
the
localization
of
single
fluorophores
with
expected
~
2
nm
precision
in
3D
mapping,
roughly
one
order
magnitude
better
than
standard
stimulated
emission
depletion
microscopy
or
stochastic
optical
reconstruction
microscopy.
This
“brilliant”
technique
takes
advantage
specialized
principles
and
algorithms
that
require
only
dim
fluorescence
signals
a
minimum
flux
photons;
hence
name
follows.
With
this
level
performance,
imaging
tracking
should
allow
for
routine
study
biological
processes
down
to
molecular
scale,
revealing
previously
unresolved
details
cell
structures,
such
as
organization
calcium
channels
muscle
cells
clustering
receptors
synapses.
Whereas
high
is
definitely
strength
technique,
limitations
challenges
also
exist,
especially
labeling
procedures
aiming
at
appropriate
density
on/off
switching
kinetics.
primer
presents
some
significant
results
achieved
so
far
highlights
specific
operational
crucial
technique.
Abstract
Time-resolved
volumetric
fluorescence
imaging
over
an
extended
duration
with
high
spatial/temporal
resolution
is
a
key
driving
force
in
biomedical
research
for
investigating
spatial-temporal
dynamics
at
organism-level
systems,
yet
it
remains
major
challenge
due
to
the
trade-off
among
speed,
light
exposure,
illumination
power,
and
image
quality.
Here,
we
present
deep-learning
enhanced
sheet
microscopy
(LSFM)
approach
that
addresses
restoration
of
rapid
time-lapse
less
than
0.03%
exposure
3.3%
acquisition
time
compared
typical
standard
acquisition.
We
demonstrate
convolutional
neural
network
(CNN)-transformer
developed
here,
namely
U-net
integrated
transformer
(UI-Trans),
successfully
achieves
mitigation
complex
noise-scattering-coupled
degradation
outperforms
state-of-the-art
deep
learning
networks,
its
capability
faithfully
fine
details
while
comprehending
global
features.
With
fast
generation
appropriate
training
data
via
flexible
switching
between
confocal
line-scanning
LSFM
(LS-LSFM)
conventional
LSFM,
this
method
three-
five-fold
signal-to-noise
ratio
(SNR)
improvement
~1.8
times
contrast
ex
vivo
zebrafish
heart
long-term
4D
(3D
morphology
+
time)
heartbeat
different
developmental
stages
ultra-economical
acquisitions
terms
dosage
time.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Lanthanide-doped
upconversion
nanoparticles
(UCNPs)
are
emerging
as
innovative
nonlinear
probes
in
biomedical
studies,
offering
the
unique
capability
to
simultaneously
emit
both
visible
(VIS)
and
near-infrared
(NIR)
photons
under
continuous-wave
(CW)
NIR
excitation.
However,
deep-tissue
high-resolution
imaging
remains
challenging
due
trade-off
between
VIS
emission
(higher
resolution,
limited
penetration)
(deeper
penetration,
lower
resolution).
Here
we
present
a
CW
microscopy
based
on
homologous
dual-emission
adaptive
optics,
leveraging
Tm3+/Yb3+
co-doped
UCNPs'
dual
455
nm/800
nm
emission:
800
for
aberration
measurement
(guide-star)
deep
tissues
at
matching
depths.
Using
home-built
laser
scanning
microscope
with
975
laser,
achieved
near-diffraction-limited
(480
laterally)
500
μm
depth
mouse
brain
environment
significant
optical
aberrations.
This
strategy
expands
applications
innovates
exploration
of
features.
Abstract
Deterministic
three-dimensional
(3D)
super-resolution
microscopy
can
achieve
light-matter
interaction
in
a
small
volume,
but
usually
with
the
axial
extension
distinctly
more
elongated
than
lateral
one.
The
isoSTED
method
combining
two
opposing
objectives
and
multiple
laser
beams
offer
high
at
λ/12
level,
cost
of
optical
system
complexity
inherent
sidelobes.
high-order
nonlinear
effect
by
multiphoton
excitation
would
benefit
to
sub-diffraction
resolution
as
well
suppress
Herein,
an
easy-to-use,
sidelobe-free
deterministic
3D
nanoscopy
resolution,
we
developed
purely
physical
strategy
(UNEx-4Pi)
fusion
ultrahighly
(UNEx)
photon
avalanching
nanoparticles
mirror-based
bifocal
vector
field
modulation
(4Pi).
theoretical
studies
UNEx-4Pi
concept
showed
that
main
peak
fluorescence
spot
became
sharper
its
large
sidelobe
height
was
suppressed
increasing
nonlinearity.
In
addition,
simplicity
robustness
were
demonstrated
utilizing
mirror-assisted
single-objective
self-interference
strategy.
Experimentally,
realized
extremely
constringent
focal
without
sidelobes
observed,
achieving
up
λ/33
(26
nm)
using
one
low-power
CW
beam.
We
also
ability
scheme
bioimaging
nuclear
envelope
BSC-1
cells
stained
imaged
32
nm.
proposed
will
pave
way
for
highly
confined
space,
thereby
advancing
cutting-edge
technologies
like
sensing,
imaging,
lithography,
data
storage.
Abstract
Minimal
photon
fluxes
(MINFLUX)
nanoscopy
has
emerged
as
a
transformative
advancement
in
superresolution
imaging,
enabling
unprecedented
nanoscale
observations
across
diverse
biological
scenarios.
In
this
work,
we
propose,
for
the
first
time,
that
employing
high-order
vortex
beams
can
significantly
enhance
performance
of
MINFLUX,
surpassing
limitations
conventional
MINFLUX
using
first-order
beam.
Our
theoretical
analysis
indicates
that,
standard
improve
maximum
localization
precision
by
factor
corresponding
to
their
order,
which
approach
sub-nanometer
scale
under
optimal
conditions,
and
raster
scan
allow
wider
field
view
while
maintaining
enhanced
precision.
These
findings
underscore
potential
elevate
paving
way
towards
ultra-high
resolution
imaging
broad
range
applications.
PhotoniX,
Journal Year:
2025,
Volume and Issue:
6(1)
Published: May 7, 2025
Abstract
Structured
illumination
microscopy
(SIM)
has
emerged
as
a
powerful
super-resolution
technique
for
studying
protein
dynamics
in
live
cells
thanks
to
its
wide-field
imaging
mode
and
high
photon
efficiency.
However,
conventional
SIM
requires
at
least
nine
raw
images
achieve
reconstruction,
which
limits
speed
increases
susceptibility
rapid
sample
dynamics.
Moreover,
the
reliance
of
on
parameters
algorithmic
post-processing
renders
it
vulnerable
reconstruction
artifacts,
especially
low
signal-to-noise
ratios.
In
this
work,
we
propose
single-shot
composite
structured
method
using
ensemble
deep
learning
(eDL-cSIM).
Without
modifying
original
setup,
eDL-cSIM
employs
only
one
pattern
generated
by
6-beam
interferometry.
The
resultant
composite-coded
image,
contains
multiplexed
high-frequency
spectral
information
beyond
diffraction
limit,
is
further
processed
predict
high-quality,
artifact-free
super-resolved
image.
Experimental
results
demonstrate
that
integrates
advantages
various
state-of-the-art
neural
networks,
enabling
robust
image
predictions
across
different
specimen
types
or
structures
interest,
outperforms
classical
physics-driven
methods
terms
speed,
quality
environmental
robustness,
while
avoiding
intricate
specialized
procedures.
These
collective
make
promising
tool
fast
live-cell
with
significantly
reduced
phototoxicity
photobleaching.
Physical Review Research,
Journal Year:
2023,
Volume and Issue:
5(2)
Published: April 17, 2023
Single-molecule
localization
based
on
the
concept
of
MINFLUX
allows
for
molecular
resolution
imaging
and
tracking
with
a
laser-scanning
microscopy
architecture.
In
MINFLUX,
doughnut-shaped
structured
illumination
beam
sequentially
excites
sample,
thereby
minimizing
uncertainty
given
number
photons.
However,
has
limited
field
view
(FOV)
therefore
requires
precise
prelocalization
step.
We
mitigate
this
problem
by
introducing
single-molecule
image
scanning
(smISM)
concept.
smISM,
point
detector
microscope
is
replaced
small
single-photon
array,
leveraging
benefits
both
detection.
show
via
simulations
that
combining
smISM
(i.e.,
ISM-FLUX),
we
obtained
between
1
15
nm
over
FOV
more
than
800
100
addition,
multiple
molecules
simultaneously.
calculate
effect
different
parameters,
such
as
relative
position
doughnut
beams,
pixels,
photons,
signal-to-background
ratio,
uncertainty.
predict
combination
good
precision
enhanced
robustness
ISM-FLUX
will
help
wide
adoption
MINFLUX.