Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Abstract
Using
a
combined
top‐down
(i.e.,
operator‐directed)
and
bottom‐up
cell‐directed)
strategy,
an
Under‐oil
Open
Microfluidic
System
(UOMS)‐based
microtumor
model
is
presented
for
investigating
tumor
cell
migration
anti‐metastasis
drug
test.
Compared
to
the
mainstream
closed
microfluidics‐based
models,
UOMS
features:
i)
micrometer‐scale
lateral
resolution
of
surface
patterning
with
open
microfluidic
design
flexible
spatiotemporal
sample
manipulation
top‐down);
ii)
self‐organized
extracellular
matrix
(ECM)
structures
cell‐ECM
spontaneous
remodeling
bottom‐up);
iii)
free
physical
access
samples
on
device
minimized
system
disturbance.
The
–
allowing
controlled
but
also
self‐organized,
cell‐directed
tumor‐ECM
microenvironment
in
configuration
used
test
(incyclinide,
aka
CMT‐3)
triple‐negative
breast
cancer
line
(MDA‐MB‐231).
vitro
results
show
suppression
ECM
echoing
vivo
mice
metastasis
results.
Advanced Healthcare Materials,
Journal Year:
2023,
Volume and Issue:
12(18)
Published: March 11, 2023
Abstract
The
clinical
translations
of
drugs
and
nanomedicines
depend
on
coherent
pharmaceutical
research
based
biologically
accurate
screening
approaches.
Since
establishing
the
2D
in
vitro
cell
culture
method,
scientific
community
has
improved
cell‐based
drug
assays
models.
Those
advances
result
more
informative
biochemical
development
3D
multicellular
models
to
describe
biological
complexity
better
enhance
simulation
vivo
microenvironment.
Despite
overall
dominance
conventional
macroscopic
methods,
they
present
physicochemical
operational
challenges
that
impair
scale‐up
by
not
allowing
a
high
parallelization,
multidrug
combination,
high‐throughput
screening.
Their
combination
complementarity
with
microfluidic
platforms
enable
microfluidics‐based
unequivocal
advantages
therapies.
Thus,
this
review
presents
an
updated
consolidated
view
miniaturization's
physical,
chemical,
considerations
scenario.
It
clarifies
field
using
gradient‐based
microfluidics,
droplet‐based
printed‐based
digital‐based
SlipChip,
paper‐based
microfluidics.
Finally,
it
comparative
analysis
performance
methods
life
achieve
increased
precision
process.
Journal of Imaging,
Journal Year:
2025,
Volume and Issue:
11(2), P. 59 - 59
Published: Feb. 15, 2025
Artificial
intelligence
(AI)
transforms
image
data
analysis
across
many
biomedical
fields,
such
as
cell
biology,
radiology,
pathology,
cancer
and
immunology,
with
object
detection,
feature
extraction,
classification,
segmentation
applications.
Advancements
in
deep
learning
(DL)
research
have
been
a
critical
factor
advancing
computer
techniques
for
mining.
A
significant
improvement
the
accuracy
of
detection
algorithms
has
achieved
result
emergence
open-source
software
innovative
neural
network
architectures.
Automated
now
enables
extraction
quantifiable
cellular
spatial
features
from
microscope
images
cells
tissues,
providing
insights
into
organization
various
diseases.
This
review
aims
to
examine
latest
AI
DL
mining
microscopy
images,
aid
biologists
who
less
background
knowledge
machine
(ML),
incorporate
ML
models
focus
images.
Nanoscale Horizons,
Journal Year:
2024,
Volume and Issue:
9(3), P. 334 - 364
Published: Jan. 1, 2024
Integrating
the
advances
of
emerging
hyperthermia
techniques
with
3D
tumor
models
and
non-invasive
temperature
control
systems
can
contribute
to
identifying
top-performing
hyperthermic
nanomedicines
in
preclinical
evaluation
stages.
Materials Today Bio,
Journal Year:
2024,
Volume and Issue:
26, P. 101048 - 101048
Published: April 4, 2024
Biosensing
is
vital
for
many
areas
like
disease
diagnosis,
infectious
prevention,
and
point-of-care
monitoring.
Microfluidics
has
been
evidenced
to
be
a
powerful
tool
biosensing
via
integrating
biological
detection
processes
into
palm-size
chip.
Based
on
the
chip
structure,
microfluidics
two
subdivision
types:
open
closed
microfluidics,
whose
operation
methods
would
diverse.
In
this
review,
we
summarize
fundamentals,
liquid
control
methods,
applications
of
separately,
point
out
bottlenecks,
propose
potential
directions
microfluidics-based
biosensing.
High-throughput
measurement
of
cellular
traction
forces
at
the
nanoscale
remains
a
significant
challenge
in
mechanobiology,
limiting
our
understanding
how
cells
interact
with
their
microenvironment.
Here,
we
present
novel
technique
for
fabricating
protein
nanopatterns
standard
multiwell
microplate
formats
(96/384-wells),
enabling
high-throughput
quantification
using
DNA
tension
gauge
tethers
(TGTs)
amplified
by
CRISPR-Cas12a.
Our
method
employs
sparse
colloidal
lithography
to
create
nanopatterned
surfaces
feature
sizes
ranging
from
sub
100
800
nm
on
transparent,
planar,
and
fully
PEGylated
substrates.
These
allow
orthogonal
immobilization
two
different
proteins
or
biomolecules
click-chemistry,
providing
precise
spatial
control
over
signaling
cues.
We
demonstrate
robustness
versatility
this
platform
through
imaging
techniques,
including
total
internal
reflection
fluorescence
microscopy,
confocal
laser
scanning
imaging.
Applying
technology,
measured
early
stage
mechanical
exerted
3T3
fibroblasts
across
features,
detecting
12
56
pN.
By
integrating
Mechano-Cas12a
Assisted
Tension
Sensor
(MCATS)
system,
achieved
rapid
forces,
analyzing
2
million
within
minutes.
findings
reveal
that
clustering
integrin
ligands
significantly
influences
responses
cells.
This
offers
powerful
tool
mechanobiology
research,
facilitating
study
mechanotransduction
pathways
manner
compatible
cell
culture
systems.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(13), P. 4350 - 4350
Published: July 4, 2024
Water
pollution
greatly
impacts
humans
and
ecosystems,
so
a
series
of
policies
have
been
enacted
to
control
it.
The
first
step
in
performing
is
detect
contaminants
the
water.
Various
methods
proposed
for
water
quality
testing,
such
as
spectroscopy,
chromatography,
electrochemical
techniques.
However,
traditional
testing
require
utilization
laboratory
equipment,
which
large
not
suitable
real-time
field.
Microfluidic
devices
can
overcome
limitations
instruments
become
an
efficient
convenient
tool
analysis.
At
same
time,
artificial
intelligence
ideal
means
recognizing,
classifying,
predicting
data
obtained
from
microfluidic
systems.
based
on
machine
learning
are
being
developed
with
great
significance
next
generation
monitoring
This
review
begins
brief
introduction
algorithms
involved
materials
used
fabrication
detection
techniques
platforms.
Then,
latest
research
development
combining
two
pollutant
bodies,
including
heavy
metals,
pesticides,
micro-
nanoplastics,
microalgae,
mainly
introduced.
Finally,
challenges
encountered
future
directions
industrial
chips
discussed.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(5), P. 2512 - 2512
Published: Feb. 21, 2024
Bone
differentiation
is
crucial
for
skeletal
development
and
maintenance.
Its
dysfunction
can
cause
various
pathological
conditions
such
as
rickets,
osteoporosis,
osteogenesis
imperfecta,
or
Paget's
disease.
Although
traditional
two-dimensional
cell
culture
systems
have
contributed
significantly
to
our
understanding
of
bone
biology,
they
fail
replicate
the
intricate
biotic
environment
tissue.
Three-dimensional
(3D)
spheroid
cultures
gained
widespread
popularity
addressing
defects.
This
review
highlights
advantages
employing
3D
investigate
differentiation.
It
their
capacity
mimic
complex
in
vivo
cellular
interactions
pivotal
homeostasis.
The
exploration
models
research
offers
enhanced
physiological
relevance,
improved
predictive
capabilities,
reduced
reliance
on
animal
models,
which
advancement
safer
more
effective
strategies
drug
development.
Studies
highlighted
transformative
potential
expanding
biology
developing
targeted
therapeutic
interventions
bone-related
disorders.
explores
how
demonstrated
promise
unraveling
mechanisms
governing
homeostasis
responses
pharmacological
agents.
