Mechanical
stiffness
of
liver
organoid
is
a
key
indicator
for
the
progress
hepatic
steatosis.
Probe
indentation
noninvasive
methodology
to
measure
Young's
modulus
(YM);
however,
inhomogeneous
nature
induces
measurement
uncertainty
requiring
large
number
indentations
covering
wide
scanning
area.
Here,
we
demonstrate
that
lipid-stained
fluorescence
imaging-assisted
probe
significantly
reduces
measurements
by
specifying
highly
lipid-induced
Lipid-stained
steatosis
model
shows
broad
distributions
are
spatially
correlated
with
decreased
YM
on
lipid-filled
region
bright
compared
measured
blank
dark
fluorescence.
The
viability
remained
robust
even
after
exposure
an
ambient
condition
up
6
h,
showing
can
be
methods
measurements.
Nano Letters,
Journal Year:
2023,
Volume and Issue:
23(20), P. 9618 - 9625
Published: Oct. 4, 2023
Understanding
liver
tissue
mechanics,
particularly
in
the
context
of
pathologies
like
fibrosis,
cirrhosis,
and
carcinoma,
holds
pivotal
significance
for
assessing
disease
severity
prognosis.
Although
static
mechanical
properties
livers
have
been
gradually
studied,
intricacies
their
dynamic
mechanics
remain
enigmatic.
Here,
we
characterize
creep
responses
healthy,
fibrotic,
mesenchymal
stem
cells
(MSCs)-treated
fibrotic
lives.
Strikingly,
unearth
a
ubiquitous
two-stage
power-law
rheology
across
different
time
scales
with
exponents
distribution
profiles
highly
correlated
to
status.
Moreover,
our
self-similar
hierarchical
theory
effectively
captures
delicate
changes
dynamical
livers.
Notably,
viscoelastic
multiscale
indexes
(i.e.,
elastic
stiffnesses
hierarchies)
characteristics
prominently
vary
fibrosis
MSCs
therapy.
This
study
unveils
underscores
potential
proposed
criteria
evolution
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(12), P. 3631 - 3637
Published: March 11, 2024
A
striking
phenomenon
of
collective
cell
motion
is
that
they
can
exhibit
a
spontaneously
emerging
wave
during
epithelia
expansions.
However,
the
fundamental
mechanism,
governing
emergence
and
its
crucial
characteristics
(e.g.,
eigenfrequency
pattern),
remains
an
enigma.
By
introducing
mechanochemical
feedback
loop,
we
develop
highly
efficient
discrete
vertex
model
to
investigate
spatiotemporal
evolution
spreading
epithelia.
We
find
both
numerically
analytically
expanding
monolayers
display
power-law
dependence
frequency
on
local
heterogeneities
(i.e.,
density)
with
scaling
exponent
−1/2.
Moreover,
our
study
demonstrates
quantitative
capability
proposed
in
capturing
distinct
X-,
W-,
V-mode
patterns.
unveil
phase
transition
between
these
modes
governed
by
distribution
active
self-propulsion
forces.
Our
work
provides
avenue
for
rigorous
investigations
into
pattern
formation
groups.
Small Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 1, 2024
Abstract
The
heterogeneous
micromechanical
properties
of
biological
tissues
have
profound
implications
across
diverse
medical
and
engineering
domains.
However,
identifying
full‐field
elastic
soft
materials
using
traditional
approaches
is
fundamentally
challenging
due
to
difficulties
in
estimating
local
stress
fields.
Recently,
there
has
been
a
growing
interest
data‐driven
models
for
learning
mechanical
responses,
such
as
displacement
strain,
from
experimental
or
synthetic
data.
research
studies
on
inferring
materials,
more
problem,
are
scarce,
particularly
large
deformation,
hyperelastic
materials.
Here,
physics‐informed
machine
approach
proposed
identify
the
elasticity
map
nonlinear,
deformation
This
study
reports
prediction
accuracies
computational
efficiency
neural
networks
(PINNs)
maps
with
structural
complexity
that
closely
resemble
real
tissue
microstructure,
brain,
tricuspid
valve,
breast
cancer
tissues.
Further,
improved
architecture
applied
three
constitutive
models:
Neo‐Hookean,
Mooney
Rivlin,
Gent.
network
consistently
produces
accurate
estimations
maps,
even
when
up
10%
noise
present
training
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(45), P. 14522 - 14530
Published: Nov. 4, 2024
The
mechanical
and
electrical
properties
of
cells
serve
as
critical
indicators
their
physiological
pathological
state.
Currently,
distinct
setups
are
required
to
measure
the
responses
cells.
In
addition,
most
existing
methods
such
optical
trapping
(OT)
atomic
force
microscopy
(AFM)
labor-intensive,
expensive,
low-throughput.
Here,
we
developed
a
microdevice
that
integrates
automated
cell
trapping,
deformation,
electric
impedance
spectroscopy
overcome
these
limitations.
Our
device
enables
parallel
aspiration
tens
trapped
in
highly
scalable
manner
by
simply
adjusting
applied
pressures,
allowing
for
rapid
probing
dynamic
viscoelastic
Furthermore,
embedded
microelectrodes
enable
concurrent
investigations
Through
testing
on
different
types,
our
platform
demonstrated
superior
capabilities
comprehensive
characterization
phenotyping,
highlighting
its
great
potential
versatile
tool
single
analysis,
drug
screening,
disease
detection.
Materials Advances,
Journal Year:
2024,
Volume and Issue:
5(12), P. 5025 - 5035
Published: Jan. 1, 2024
Alterations
in
the
tumor
microenvironment
not
only
modulate
cancer
cell
progression
and
invasiveness
but
also
affect
viscoelastic
properties
of
immune
cells
therein.
