Cyborg and Bionic Systems,
Journal Year:
2025,
Volume and Issue:
6
Published: Jan. 1, 2025
The
presence
of
cellular
defects
multifactorial
nature
can
be
hard
to
characterize
accurately
and
early
due
the
complex
interplay
genetic,
environmental,
lifestyle
factors.
With
this
study,
by
bridging
optically-induced
dielectrophoresis
(ODEP),
microfluidics,
live-cell
imaging,
machine
learning,
we
provide
ground
for
devising
a
robotic
micromanipulation
analysis
system
single-cell
phenotyping.
Cells
under
influence
nonuniform
electric
fields
generated
via
ODEP
recorded
measured.
induced
responses
obtained
time-variant
stimulation
reflect
cells'
chemical,
morphological,
structural
characteristics
in
an
automated,
flexible,
label-free
manner.
By
complementing
electrokinetic
fingerprint
cell
centroid
motion
with
data
on
dynamics
electro-deformation
orientation,
show
that
subtle
differences
at
level
elucidated.
Specifically,
here,
demonstrate,
first
time,
ability
combined
ODEP-based
automatic
platform
discriminate
between
primary
endometrial
stromal
cells
from
fertile
patients
disrupted
receptivity/selectivity
equilibrium.
When
multiple
were
considered
patient
level,
performance
achieved
average
accuracy
98%.
Single-cell
micro-operation
systems
may
find
more
general
application
clinical
diagnosis
management
pathological
alterations
level.
Cell Reports,
Journal Year:
2024,
Volume and Issue:
43(10), P. 114852 - 114852
Published: Oct. 1, 2024
A
quantitative
description
of
nuclear
mechanics
is
crucial
for
understanding
its
role
in
force
sensing
within
eukaryotic
cells.
Recent
studies
indicate
that
the
chromatin
nucleus
cannot
be
treated
as
a
homogeneous
material.
To
elucidate
material
properties,
we
combine
optical
tweezers
manipulation
isolated
nuclei
with
multi-color
fluorescence
imaging
lamin
and
to
map
response
local
deformations.
Force
spectroscopy
reveals
strain
stiffening
an
exponential
dependence,
well
described
by
hierarchical
chain
model.
Simultaneously,
data
show
higher
compliance
compared
envelope
at
strains
<30%.
Micrococcal
nuclease
(MNase)
digestion
results
softening
can
captured
our
Additionally,
observe
stretching
responses
showing
lipid
tether
signature,
suggesting
these
tethers
originate
from
membrane.
Our
combined
approach
allows
us
while
mapping
deformation
lamin,
(eu)chromatin,
Science Advances,
Journal Year:
2023,
Volume and Issue:
9(20)
Published: May 19, 2023
The
bacterial
pathogen
Mycobacterium
tuberculosis
binds
to
the
C-type
lectin
DC-SIGN
(dendritic
cell-specific
intercellular
adhesion
molecule
3-grabbing
nonintegrin)
on
dendritic
cells
evade
immune
system.
While
glycoconjugate
ligands
are
ubiquitous
among
mycobacterial
species,
receptor
selectively
pathogenic
species
from
M.
complex
(MTBC).
Here,
we
unravel
molecular
mechanism
behind
this
intriguing
selective
recognition
by
means
of
a
multidisciplinary
approach
combining
single-molecule
atomic
force
microscopy
with
Förster
resonance
energy
transfer
and
bioassays.
Molecular
imaging
mycobacteria
demonstrates
that
distribution
markedly
differs
between
bovis
Bacille
Calmette-Guérin
(BCG)
(model
MTBC
species)
smegmatis
(non-MTBC
species),
being
concentrated
into
dense
nanodomains
BCG.
Upon
bacteria-host
cell
adhesion,
ligand
induce
recruitment
clustering
DC-SIGN.
Our
study
highlights
key
role
both
host
receptors
in
recognition,
might
be
widespread
host-pathogen
interactions.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Abstract
Recent
advancements
in
atomic
force
microscopy
(AFM)
have
enabled
detailed
exploration
of
materials
at
the
molecular
and
levels.
These
developments,
however,
pose
a
challenge:
data
generated
by
microscopic
spectroscopic
experiments
are
increasing
rapidly
both
size
complexity.
Extracting
meaningful
physical
insights
from
these
datasets
is
challenging,
particularly
for
multilayer
heterogeneous
nanoscale
structures.
In
this
paper,
an
unsupervised
approach
presented
to
enhance
AFM
image
contrast
analyzing
nonlinear
response
cantilever
interacting
with
material's
surface
using
wavelet‐based
AFM.
This
method
simultaneously
measures
different
frequencies
harmonics
single
scan,
without
need
additional
hardware
exciting
multiple
cantilevers'
eigenmodes.
developed
enhancement
(AFM‐ICE)
employs
learning,
processing,
fusion
techniques.
The
applied
interpret
complex
structures
consist
defects,
deposited
nanoparticles
heterogeneities.
Its
substantial
capability
demonstrated
improve
differentiate
between
various
components.
methodology
can
pave
way
rapid
precise
determination
material
properties
enhanced
resolution.
Cyborg and Bionic Systems,
Journal Year:
2025,
Volume and Issue:
6
Published: Jan. 1, 2025
The
presence
of
cellular
defects
multifactorial
nature
can
be
hard
to
characterize
accurately
and
early
due
the
complex
interplay
genetic,
environmental,
lifestyle
factors.
With
this
study,
by
bridging
optically-induced
dielectrophoresis
(ODEP),
microfluidics,
live-cell
imaging,
machine
learning,
we
provide
ground
for
devising
a
robotic
micromanipulation
analysis
system
single-cell
phenotyping.
Cells
under
influence
nonuniform
electric
fields
generated
via
ODEP
recorded
measured.
induced
responses
obtained
time-variant
stimulation
reflect
cells'
chemical,
morphological,
structural
characteristics
in
an
automated,
flexible,
label-free
manner.
By
complementing
electrokinetic
fingerprint
cell
centroid
motion
with
data
on
dynamics
electro-deformation
orientation,
show
that
subtle
differences
at
level
elucidated.
Specifically,
here,
demonstrate,
first
time,
ability
combined
ODEP-based
automatic
platform
discriminate
between
primary
endometrial
stromal
cells
from
fertile
patients
disrupted
receptivity/selectivity
equilibrium.
When
multiple
were
considered
patient
level,
performance
achieved
average
accuracy
98%.
Single-cell
micro-operation
systems
may
find
more
general
application
clinical
diagnosis
management
pathological
alterations
level.
