Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Окт. 28, 2022
Abstract
Single-cell
manipulation
chips
are
considered
powerful
platforms
to
analyze
intercellular
interactions
and
cellular
function
at
single-cell
level.
Although
the
conventional
cell
co-culture
models
could
investigate
communication
some
extent,
role
of
a
single
requires
further
analysis.
This
study
focuses
on
design
fabrication
platform
based
microelectrode
array
(MEA)
using
dielectrophoresis
build
precise
interaction
model
chip.
Single
cells
were
trapped
or
transferred
between
electrodes
achieve
exact
manipulation.
Each
electrode
MEA
chip
was
independently
controlled,
corresponding
electrophysiology
be
recorded.
Multiple
influencing
factors,
including
diameter
depth
microwells,
geometry
cells,
voltage
amplitude
control
signal,
investigated
determine
optimal
condition
for
Two
typical
types
293T
neural
used
test
influence
electric
field
cells.
Meanwhile,
morphology
continuously
monitored
under
microscope.
The
inappropriate
use
examined
oncosis
phenomenon.
obtained
preliminary
results
extended
nature
growing
controllable
level,
satisfying
expectation
introducing
more
elaborated
models.
Engineering,
Год журнала:
2024,
Номер
34, С. 195 - 211
Опубликована: Янв. 19, 2024
The
United
Nations
(UN)'s
call
for
a
decade
of
"ecosystem
restoration"
was
prompted
by
the
need
to
address
extensive
impact
anthropogenic
activities
on
natural
ecosystems.
Marine
ecosystem
restoration
is
increasingly
necessary
due
increasing
habitat
loss
in
deep
waters
(>
200
m
depth).
At
these
depths,
which
are
far
beyond
those
accessible
divers,
only
established
and
emerging
robotic
platforms
such
as
remotely
operated
vehicles
(ROVs),
autonomous
underwater
(AUVs),
landers,
crawlers
can
operate
through
manipulators
their
multiparametric
sensor
technologies
(e.g.,
optoacoustic
imaging,
omics,
environmental
probes).
use
advanced
deep-sea
provide:
①
high-resolution
three-dimensional
(3D)
imaging
acoustic
mapping
substrates
key
taxa;
②
physical
manipulation
③
real-time
supervision
remote
operations
long-term
ecological
monitoring;
④
potential
work
autonomously.
Here,
we
describe
how
with
situ
capabilities
payloads
innovative
sensors
could
autonomously
conduct
active
monitoring
across
large
spatial
scales.
We
expect
that
devices
will
be
particularly
useful
habitats,
reef-building
cold-water
corals,
soft-bottom
bamboo
fishery
resources
have
already
been
damaged
offshore
industries
(i.e.,
fishing
oil/gas).
Cyborg and Bionic Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
Three-dimensional
(3D)
neural
cultures
are
increasingly
recognized
for
their
complexity
and
resemblance
to
in
vivo
microenvironments.
In
this
paper,
we
present
a
novel
3D
cell
culturing
noninvasive
characterization
technique
of
spheroids.
Based
on
embedded
platinum
wires,
the
cultured
cells
lollipop-shaped
spheroids
where
axons
extended
integrated
around
wires.
Electrical
microstimulation
enhanced
connectivity
between
demonstrated
signal
propagation
among
them.
The
resultant
axonal
elongation
facilitated
formation
robust
tracts
interconnecting
Variation
cells'
density
allows
adjust
spheroid's
diameter,
identifying
1
million
as
good
number
spheroid
formation.
Recordings
activities
reveal
higher-quality
measurement
from
interior
compared
those
obtained
exterior
cells.
Viability
assays
confirmed
efficacy
proposed
sustained
growth
over
1-month
period.
holds
potential
applications
various
fields,
such
development
brain
organoids,
which
enables
real-time
interconnection
sensing
environment
conditions.
Micromachines,
Год журнала:
2023,
Номер
14(4), С. 709 - 709
Опубликована: Март 23, 2023
Recent
years
have
witnessed
a
spurt
of
progress
in
the
application
encoding
and
decoding
neural
activities
to
drug
screening,
diseases
diagnosis,
brain-computer
interactions.
To
overcome
constraints
complexity
brain
ethical
considerations
vivo
research,
chip
platforms
integrating
microfluidic
devices
microelectrode
arrays
been
raised,
which
can
not
only
customize
growth
paths
for
neurons
vitro
but
also
monitor
modulate
specialized
networks
grown
on
chips.
Therefore,
this
article
reviews
developmental
history
arrays.
First,
we
review
design
advanced
devices.
After,
introduce
fabrication
process
platforms.
Finally,
highlight
recent
type
platform
as
research
tool
field
science
neuroscience,
focusing
neuropharmacology,
neurological
diseases,
simplified
models.
This
is
detailed
comprehensive
work
aims
fulfill
following
three
goals:
(1)
summarize
latest
patterns
schemes
such
platforms,
providing
reference
development
other
new
platforms;
(2)
generalize
several
important
applications
neurology,
will
attract
attention
scientists
field;
(3)
propose
direction
International Journal of Molecular Sciences,
Год журнала:
2024,
Номер
25(22), С. 12368 - 12368
Опубликована: Ноя. 18, 2024
Nanotechnology
and
machine
learning
(ML)
are
rapidly
emerging
fields
with
numerous
real-world
applications
in
medicine,
materials
science,
computer
engineering,
data
processing.
ML
enhances
nanotechnology
by
facilitating
the
processing
of
dataset
nanomaterial
synthesis,
characterization,
optimization
nanoscale
properties.
Conversely,
improves
speed
efficiency
computing
power,
which
is
crucial
for
algorithms.
Although
capabilities
still
their
infancy,
a
review
research
literature
provides
insights
into
exciting
frontiers
these
suggests
that
integration
can
be
transformative.
Future
directions
include
developing
tools
manipulating
nanomaterials
ensuring
ethical
unbiased
collection
models.
This
emphasizes
importance
coevolution
technologies
mutual
reinforcement
to
advance
scientific
societal
goals.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 9, 2025
Abstract
Neurons
derived
from
human
pluripotent
stem
cells
(hPSCs)
are
valuable
models
for
studying
brain
development
and
developing
therapies
disorders.
Evaluating
human-derived
neurons
requires
assessing
their
electrical
activity,
which
can
be
achieved
using
multi-electrode
arrays
(MEAs)
extracellular
recordings.
Because
each
electrode
channel
generally
detects
activity
multiple
neurons,
resolving
the
of
single
a
process
called
spike
sorting.
However,
currently
available
sorting
methods
not
optimized
analysis
hPSC-derived
require
complex
workflows
time-consuming
manual
intervention.
Here,
we
introduce
S
emi-
A
utomated
M
EA
pike
software
(SAMS)
designed
specifically
low-density
MEA
recordings
cultured
neurons.
SAMS
outperforms
commercially
automated
algorithms
in
terms
accuracy
greatly
reduces
computational
processing
time.
By
providing
an
accessible,
efficient,
integrated
platform
sorting,
enhances
resolution
utility
disease
modeling
drug
Highlights
is
high
throughput
more
efficient
accurate
compared
to
recommended
spike-sorting
software.
resolves
phenotypic
differences
previously
observed
without
open-source
Sensors,
Год журнала:
2025,
Номер
25(11), С. 3515 - 3515
Опубликована: Июнь 3, 2025
The
rapid
and
accurate
quantitative
analysis
of
cell
chemotaxis,
which
is
essential
in
biology,
medicine,
drug
development,
enables
the
evaluation
directional
migration
capability
cells
simulation
vivo
chemotaxis.
However,
traditional
methods
for
studying
chemotaxis
often
depend
on
complex
experimental
procedures,
are
not
only
time-consuming
labor-intensive
but
also
prone
to
human
error.
Recently,
advancement
microfluidic
technology
deep
learning
has
provided
a
new
way
In
this
study,
method
based
microfluidics
proposed.
A
device
was
designed
simulate
allowing
controlled
assessment
by
generating
chemical
gradients
within
microchannels
shear
stress.
Concurrently,
introduced
identify
migrated
non-migrated
states
images,
thereby
enabling
automatic
counting
chemotactic
cells.
Compared
with
manual
assays,
reduced
time
labor
costs
achieved
higher
accuracy
reproducibility.
This
innovative
approach,
integrates
learning,
provides
novel
perspective
tool
research.
offers
fresh
potential
significantly
advance
field
biomedical
research,
particularly
biosensor
development
related
discovery
disease
diagnosis.
Frontiers in Bioengineering and Biotechnology,
Год журнала:
2023,
Номер
11
Опубликована: Сен. 27, 2023
Chips-based
platforms
intended
for
single-cell
manipulation
are
considered
powerful
tools
to
analyze
intercellular
interactions
and
cellular
functions.
Although
the
conventional
cell
co-culture
models
could
investigate
communication
some
extent,
role
of
a
single
requires
further
analysis.
In
this
study,
precise
interaction
model
was
built
using
microelectrode
array
[microelectrode
(MEA)]-based
dielectrophoresis-driven
chip.
The
integrated
platform
enabled
cells,
which
were
either
trapped
on
or
transferred
between
electrodes.
Each
electrode
controlled
independently
record
corresponding
electrophysiology.
Multiple
parameters
explored
their
effects
including
diameter
depth
microwells,
geometry
voltage
amplitude
control
signal.
Under
optimized
microenvironment,
chip
evaluated
293T
neural
cells
influence
electric
field
cells.
An
examination
inappropriate
use
fields
revealed
occurrence
oncosis.
end
electrophysiology
neurons
network
neurons,
both
differentiated
from
human
induced
pluripotent
stem
(iPSC),
recorded
compared
demonstrate
functionality
obtained
preliminary
results
extended
nature
growing
controllable
level,
satisfying
expectation
introducing
more
elaborated
models.
