Small Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 1, 2024
Abstract
Atomic
Force
Microscopy
(AFM),
High‐Speed
AFM
(HS‐AFM)
simulation
AFM,
and
Localization
(LAFM)
enable
the
study
of
molecules
surfaces
with
increasingly
higher
spatiotemporal
resolution.
However,
effective
rapid
analysis
images
movies
produced
by
these
techniques
can
be
challenging,
often
requiring
use
multiple
image
processing
software
applications
scripts.
Here,
NanoLocz,
an
open‐source
solution
that
offers
advanced
capabilities
for
community,
is
presented.
Integration
continued
development
tools
essential
to
improve
access
data,
increase
throughput,
open
new
opportunities.
NanoLocz
efficiently
leverages
rich
data
has
offer
incorporating
combining
existing
newly
developed
methods
HS‐AFM,
LAFM
seamlessly.
It
facilitates
streamlines
workflows
from
import
raw
through
various
workflows.
demonstrates
it
enables
including
single‐molecule
LAFM,
time‐resolved
LAFM.
In
fluorescence
microscopy,
computational
algorithms
have
been
developed
to
suppress
noise,
enhance
contrast,
and
even
enable
super-resolution
(SR).
However,
the
local
quality
of
images
may
vary
on
multiple
scales,
these
differences
can
lead
misconceptions.
Current
mapping
methods
fail
finely
estimate
quality,
challenging
associate
SR
scale
content.
Here,
we
develop
a
rolling
Fourier
ring
correlation
(rFRC)
method
evaluate
reconstruction
uncertainties
down
scale.
To
visually
pinpoint
regions
with
low
reliability,
filtered
rFRC
is
combined
modified
resolution-scaled
error
map
(RSM),
offering
comprehensive
concise
for
further
examination.
We
demonstrate
their
performances
various
imaging
modalities,
resulting
quantitative
maps
better
integrated
from
different
reconstructions.
Overall,
expect
that
our
framework
become
routinely
used
tool
biologists
in
assessing
image
datasets
general
inspire
advances
rapidly
developing
field
imaging.
Microscopy,
Journal Year:
2023,
Volume and Issue:
72(2), P. 151 - 161
Published: Feb. 6, 2023
Abstract
High-speed
atomic
force
microscopy
(HS-AFM)
is
a
unique
approach
that
allows
direct
real-time
visualization
of
biological
macromolecules
in
action
under
near-physiological
conditions,
without
any
chemical
labeling.
Typically,
the
temporal
resolution
sub-100
ms,
and
spatial
2–3
nm
lateral
direction
∼0.1
vertical
direction.
A
wide
range
biomolecular
systems
their
dynamic
processes
have
been
studied
by
HS-AFM,
providing
deep
mechanistic
insights
into
how
biomolecules
function.
However,
level
detail
gleaned
from
an
HS-AFM
experiment
critically
depends
on
spatiotemporal
system.
In
this
review
article,
we
explain
principle
describe
determined.
We
also
discuss
recent
attempts
to
improve
further
extend
observable
phenomena.
Materials & Design,
Journal Year:
2024,
Volume and Issue:
238, P. 112699 - 112699
Published: Feb. 1, 2024
Despite
significant
advancements
in
microstructural
characterization
methods,
the
interconnections
between
nanostructure
and
morphological
diversity
of
calcium-silicate-hydrate
(C-S-H),
primary
binding
phase
modern
concrete,
remain
unclear.
This
review
delves
into
state-of-the-art
experimental
findings
morphology
C-S-H
comprehensively
analyses
various
influencing
factors.
The
focus
here
is
to
address
long-standing
debate:
whether
there
are
fundamental
structural
units,
either
fractural
globule
or
nano
sheet,
that
assemble
form
diverse
microstructures.
We
critically
assess
formation
involves
structured
assembly
layered
with
an
approximate
size
4–10
nm,
rather
than
occurring
randomly.
Such
may
have
substantial
heterogeneity
deformability,
often
blurring
distinction
globular
sheet
models.
Finally,
this
paper
offers
perspectives
on
future
research
directions
aimed
at
further
unravelling
intricate
structure
C-S-H.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(16), P. 10738 - 10757
Published: April 12, 2024
Biomolecular
condensates
play
important
roles
in
a
wide
array
of
fundamental
biological
processes,
such
as
cellular
compartmentalization,
regulation,
and
other
biochemical
reactions.
Since
their
discovery
first
observations,
an
extensive
expansive
library
tools
has
been
developed
to
investigate
various
aspects
properties,
encompassing
structural
compositional
information,
material
evolution
throughout
the
life
cycle
from
formation
eventual
dissolution.
This
Review
presents
overview
expanded
set
methods
that
researchers
use
probe
properties
biomolecular
across
diverse
scales
length,
concentration,
stiffness,
time.
In
particular,
we
review
recent
years'
exciting
development
label-free
techniques
methodologies.
We
broadly
organize
into
3
categories:
(1)
imaging-based
techniques,
transmitted-light
microscopy
(TLM)
Brillouin
(BM),
(2)
force
spectroscopy
atomic
(AFM)
optical
tweezer
(OT),
(3)
microfluidic
platforms
emerging
technologies.
point
out
tools'
key
opportunities,
challenges,
future
perspectives
analyze
correlative
potential
well
compatibility
with
techniques.
Additionally,
namely,
differential
dynamic
(DDM)
interferometric
scattering
(iSCAT),
have
huge
for
applications
studying
condensates.
Finally,
highlight
how
some
these
can
be
translated
diagnostics
therapy
purposes.
hope
this
serves
useful
guide
new
field
aids
advancing
biophysical
study
Journal of Chromatography A,
Journal Year:
2025,
Volume and Issue:
1743, P. 465691 - 465691
Published: Jan. 23, 2025
Significant
progress
has
been
made
in
the
last
two
decades
producing
small
(<2μm),
high-purity,
and
low-adsorption
particles,
columns
system
hardware,
for
ultra-high
pressure
liquid
chromatography
(UHPLC).
Simultaneously,
recent
rapid
expansion
of
cell
gene
therapies
treating
diseases
necessitates
novel
analytical
technologies
analyzing
large
(>2
kbp)
plasmid
double-stranded
(ds)
DNA
(which
encodes
vitro
transcription
(IVT)
single-stranded
(ss)
mRNA
therapeutics)
dsRNAs
(related
to
IVT
production
impurities)
biopolymers.
In
this
context,
slalom
(SC),
a
retention
mode
co-discovered
1988,
is
being
revitalized
using
most
advanced
column
improved
determination
critical
quality
attributes
(CQAs)
such
new
therapeutics.
review,
we
first
recall
non-exhaustively
main
currently
available
techniques
(enzyme-linked
immunosorbent
assay
(ELISA),
agarose
gel
electrophoresis
(AGE),
pulse
field
(PFGE),
capillary
(CGE),
mass
photometry
(MP),
anion-exchange
(AEX),
ion-pairing
reversed-phase
(IP-RPLC),
hydrophobic
interaction
(HIC),
size-exclusion
(SEC),
hydrodynamic
(HDC),
highly
converging
flow
ultra-filtration
(HCF-UF),
asymmetrical
field-flow
fractionation
(AF4),
spectrometry
(MS),
atomic
force
microscopy
(AFM))
mixtures
containing
nucleic
acid
biopolymers,
while
assessing
their
strengths
weaknesses.
We
then
focus
comprehensively
on
SC
technique,
report
its
past
applications
since
birth,
review
detail
history
evolution
proposed
mechanisms
accounting
observations
SC.
This
includes
emphasizes
latest
physico-chemical
insights
(shear
rates
packed
HPLC
columns,
entropic
elasticity
relaxation
dsDNA,
dsRNA,
biopolymers)
governing
behavior
biopolymers
Finally,
based
advancements
understanding
fundamentals
SC,
provide
some
perspectives
proof-of-concept
characterization
by
dsDNAs
(plasmid
digests,
polymerase
chain
reaction
(PCR)
verification),
separation
supercoiled/circular
linear
linearization),
isolation
quantification
impurities
present
samples
produced
IVT,
differentiation
between
dsRNA
conformers.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 15, 2025
Cryogenic
electron
microscopy
(cryo-EM),
X-ray
crystallography,
and
nuclear
magnetic
resonance
(NMR)
contribute
structural
data
that
are
interchangeable,
cross-verifiable,
visualizable
on
common
platforms,
making
them
powerful
tools
for
our
understanding
of
protein
structures.
Unfortunately,
atomic
force
(AFM)
has
so
far
failed
to
interface
with
these
biology
methods,
despite
the
recent
development
localization
AFM
(LAFM)
allows
extracting
high-resolution
information
from
data.
Here,
we
build
LAFM
develop
a
pipeline
transforms
into
3D-density
files
(.afm)
readable
by
programs
commonly
used
visualize,
analyze,
interpret
We
show
3D-LAFM
densities
can
serve
as
fields
steer
molecular
dynamics
flexible
fitting
(MDFF)
obtain
models
previously
unresolved
states
based
observations
in
close-to-native
environment.
Besides,
.afm
format
enables
direct
3D
or
2D
visualization
analysis
conventional
images.
anticipate
file
will
find
wide
usage
embed
repertoire
methods
routinely
community,
allowing
researchers
deposit
repositories
comparison
cross-verification
other
techniques.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Nov. 30, 2022
The
plasma
membrane's
main
constituents,
i.e.,
phospholipids
and
membrane
proteins,
are
known
to
be
organized
in
lipid-protein
functional
domains
supercomplexes.
No
active
membrane-intrinsic
process
is
establish
organization.
Thus,
the
interplay
of
thermal
fluctuations
biophysical
determinants
membrane-mediated
protein
interactions
must
considered
understand
Here,
we
used
high-speed
atomic
force
microscopy
kinetic
elastic
theory
investigate
behavior
a
model
oligomerization
assembly
controlled
lipid
environments.
We
find
that
hydrophobic
mismatch
modulates
energetics,
2D
Our
experimental
theoretical
frameworks
reveal
how
organization
can
emerge
from
Brownian
diffusion
minimal
set
physical
properties
constituents.
Journal of Molecular Biology,
Journal Year:
2022,
Volume and Issue:
434(7), P. 167466 - 167466
Published: Jan. 22, 2022
The
presence
of
amyloid
fibrils
is
a
hallmark
more
than
50
human
disorders,
including
neurodegenerative
diseases
and
systemic
amyloidoses.
A
key
unresolved
challenge
in
understanding
the
involvement
disease
to
explain
relationship
between
individual
structural
polymorphs
fibrils,
potentially
mixed
populations,
specific
pathologies
with
which
they
are
associated.
Although
cryo-electron
microscopy
(cryo-EM)
solid-state
nuclear
magnetic
resonance
(ssNMR)
spectroscopy
methods
have
been
successfully
employed
recent
years
determine
structures
high
resolution
detail,
rely
on
ensemble
averaging
fibril
entire
sample
or
significant
subpopulations.
Here,
we
report
method
for
identification
imaged
by
atomic
force
(AFM)
integration
high-resolution
maps
determined
cryo-EM
comparative
AFM
image
analysis.
This
approach
was
demonstrated
using
hitherto
structurally
formed
vitro
from
fragment
tau
(297–391),
termed
‘dGAE’.
Our
established
unequivocally
that
dGAE
bear
no
heparin-induced
vitro.
Furthermore,
our
analysis
resulted
prediction
closely
related
paired
helical
filaments
(PHFs)
isolated
Alzheimer’s
(AD)
brain
tissue
characterised
cryo-EM.
These
results
show
utility
particle
AFM,
provide
workflow
how
data
can
be
incorporated
into
facilitate
an
integrated
polymorphism.