Review of Scientific Instruments,
Journal Year:
2024,
Volume and Issue:
95(1)
Published: Jan. 1, 2024
Flow
cytometry-based
measurement
techniques
have
been
widely
used
for
single-cell
characterizations,
such
as
impedance,
size,
and
dielectric
properties.
However,
in
the
process,
reliability
of
output
signal
directly
affects
ability
microsystem
to
judge
characteristics
single
cells.
Here,
we
designed
a
multiple
nonparallel
electrode
structure
3D
localization.
The
performance
structures
was
studied
by
analyzing
changes
electric
field
strength
differential
current.
effects
microchannel
height,
sensing
distance,
inclination
angle,
width
on
signals
are
investigated
current
change
cells
passing
from
center
microchannel.
numerical
simulation
results
indicate
that,
when
height
is
20
µm,
distance
electrodes
100
angle
30°,
optimal
quality
can
be
obtained.
Reducing
flow
channel
shortening
spacing
significantly
improve
amplitude.
When
intensity
increases
80%
than
that
30
µm.
induced
with
µm
42%
higher
120
We
analyzed
presence
independent
adherent
detection
area
demonstrated
through
caused
multi-cells
superimposed
signals.
same
volume
an
ellipticity
1
49%
lower
4.
Based
investigation,
expect
geometry
design
will
aid
development
better
cell
impedance
cytometry
microsystems.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(21)
Published: Jan. 18, 2024
Abstract
Dielectrophoresis
(DEP)
particle
separation
has
label‐free,
well‐controllable,
and
low‐damage
merits.
Sidewall
microelectrodes
made
of
liquid
metal
alloy
(LMA)
inherits
the
additional
advantage
thick
electrodes
to
generate
impactful
DEP
force.
However,
existing
LMA
electrode‐based
devices
lack
ability
integrate
large‐array
in
a
compact
footprint,
severely
limiting
flow
rate
thus
throughput.
Herein,
facile
versatile
method
is
proposed
high‐density
microfluidic
devices,
taking
passive
control
capillary
burst
valves
(CBVs).
CBVs
with
carefully
designed
pressures
are
co‐designed
channels,
allowing
self‐assembly
electrode
array
through
simple
hand‐push
injection.
The
arrayed
configuration
brings
accumulative
deflection
effect.
Specifically,
fabricated
5000
pairs
sidewall
chip
demonstrted
achieve
ten
times
higher
throughput
deflection.
5000‐electrode‐pair
device
applied
successfully
separate
four
mixed
samples,
including
human
peripheral
blood
mononuclear
cells
A549
70
µL
min
−1
.
It
envisioned
that
this
work
can
greatly
facilitate
fabrication
offer
robust
platform
for
applications.
Small,
Journal Year:
2024,
Volume and Issue:
20(26)
Published: March 14, 2024
Abstract
Single‐cell
mass
spectrometry
(MS)
is
significant
in
biochemical
analysis
and
holds
great
potential
biomedical
applications.
Efficient
sample
preparation
like
sorting
(i.e.,
separating
target
cells
from
the
mixed
population)
desalting
moving
off
non‐volatile
salt
solution)
urgently
required
single‐cell
MS.
However,
traditional
methods
suffer
complicated
operation
with
various
apparatus,
or
insufficient
performance.
Herein,
a
one‐step
strategy
by
leveraging
label‐free
impedance
flow
cytometry
(IFC)
based
microfluidics
proposed.
Specifically,
IFC
framework
to
characterize
sort
single‐cells
adopted.
Simultaneously
sorting,
cell
transferred
local
high‐salinity
buffer
MS‐compatible
solution.
In
this
way,
are
achieved
collected
can
be
directly
fed
for
MS
analysis.
A
high
efficiency
(>99%),
cancer
purity
(≈87%),
whole
workflow
of
impedance‐based
separation
normal
(MCF‐10A)
(MDA‐MB‐468)
verified.
As
standalone
module,
microfluidic
chip
compatible
variety
methods,
envisioned
provide
new
paradigm
efficient
preparation,
further
multi‐modal
electrical
metabolic)
characterization
single‐cells.
Small,
Journal Year:
2023,
Volume and Issue:
19(45)
Published: July 12, 2023
Abstract
Reflecting
various
physiological
states
and
phenotypes
of
single
cells,
intrinsic
biophysical
characteristics
(e.g.,
mechanical
electrical
properties)
are
reliable
important,
label‐free
biomarkers
for
characterizing
cells.
However,
single‐modal
or
properties
alone
not
specific
enough
to
characterize
cells
accurately,
it
has
been
long
challenging
couple
the
conventionally
image‐based
characterization
impedance‐based
characterization.
In
this
work,
spatial‐temporal
impedance
sensing
signal
leveraged,
an
multimodal
electrical‐mechanical
flow
cytometry
framework
on‐the‐fly
high‐dimensional
measurement
is
proposed,
that
is,
Young's
modulus
E
,
fluidity
β
radius
r
cytoplasm
conductivity
σ
i
membrane
capacitance
C
sm
With
characterization,
can
better
reveal
difference
in
cell
types,
demonstrated
by
experimental
results
with
three
types
cancer
(HepG2,
MCF‐7,
MDA‐MB‐468)
93.4%
classification
accuracy
pharmacological
perturbations
cytoskeleton
(fixed
Cytochalasin
B
treated
cells)
95.1%
accuracy.
It
envisioned
provides
a
new
perspective
accurate
single‐cell
Microsystems & Nanoengineering,
Journal Year:
2024,
Volume and Issue:
10(1)
Published: Jan. 29, 2024
This
paper
presents
the
design
of
a
vision-based
automated
robotic
microinjection
system
for
batch
injection
both
zebrafish
embryos
and
larvae.
A
novel
visual
recognition
algorithm
based
on
an
automatic
threshold
excessive
dilatation
is
introduced
to
accurately
identify
center
larval
yolks.
corresponding
software
developed
using
producer-consumer
model
as
framework
structure,
friendly
user
interface
designed
allow
operators
choose
from
range
desired
functions
according
their
different
needs.
In
addition,
microstructural
agarose
device
fabricated
simultaneously
immobilize
mixed
batches
Moreover,
prototype
by
integrating
hardware
devices
with
algorithms.
An
experimental
study
conducted
verify
performance
system.
The
results
show
that
reported
can
larvae
efficiently
complete
tasks
mixtures
success
rate
92.05%
in
13.88
s
per
sample.
Compared
manual
existing
systems,
proposed
demonstrates
merits
versatility,
excellent
efficiency,
high
rate,
survival
sufficient
stability.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(11), P. 4419 - 4429
Published: March 6, 2024
Impedance
flow
cytometry
(IFC)
has
been
demonstrated
to
be
an
efficient
tool
for
label-free
bacterial
investigation
obtain
the
electrical
properties
in
real
time.
However,
accurate
differentiation
of
different
species
bacteria
by
IFC
technology
remains
a
challenge
owing
insignificant
differences
data.
Here,
we
developed
convolutional
neural
networks
(ConvNet)
deep
learning
approach
enhance
accuracy
and
efficiency
toward
distinguishing
various
bacteria.
First,
more
than
1
million
sets
impedance
data
(comprising
42
characteristic
features
each
set)
groups
were
trained
ConvNet
model.
To
improve
analysis,
Spearman
correlation
coefficient
mean
decrease
random
forest
algorithm
introduced
eliminate
feature
interaction
extract
opacity
related
wall
membrane
structure
as
predominant
differentiation.
Moreover,
25
optimized
selected
with
accuracies
>96%
three
(bacilli,
cocci,
vibrio)
>95%
two
bacilli
(Escherichia
coli
Salmonella
enteritidis),
compared
machine
algorithms
(complex
tree,
linear
discriminant,
K-nearest
neighbor
algorithms)
maximum
76.4%.
Furthermore,
was
achieved
on
spiked
samples
mixing
ratios.
The
proposed
learning-assisted
analysis
method
exhibits
advantages
analyzing
huge
number
capacity
extracting
within
multicomponent
information
will
bring
about
progress
advances
fields
both
biosensing
analysis.
Lab on a Chip,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
use
of
the
intrinsic
electrical
properties
a
single
cell
by
broadband
impedance
spectroscopy
(EIS)
as
label-free
and
non-invasive
method
to
monitor
cellular
intracellular
features
is
an
emerging
field.
Here,
we
present
novel
EIS-based
sheathless
microfluidic
platform
with
integrated
coplanar
waveguide
probe
interior
cell.
This
allows
for
precise
single-cell
trapping
dielectrophoresis,
hydrodynamic
focusing,
sensing
trapped
We
measured
characteristics
Schizosaccharomyces
pombe
(fission)
yeast
frequency
sweep
(30
kHz
6GHz)
in
stagnant
sucrose
solution
using
two-port
scattering
(S)
parameters.
measurements
revealed
clear
distinction
between
cytoplasm
live
versus
dead
cells
at
3
GHz.
could
provide
real-time
monitoring
responses
chemical
physical
antagonists
diagnostic
purposes.
Biosensors,
Journal Year:
2025,
Volume and Issue:
15(3), P. 131 - 131
Published: Feb. 21, 2025
Plant
pathogen
zoospores
play
a
vital
role
in
the
transmission
of
several
significant
plant
diseases,
with
their
early
detection
being
important
for
effective
management.
Current
methods
involve
labour-intensive
specimen
collection
and
laboratory
testing,
lacking
real-time
feedback
capabilities.
Methods
that
can
be
deployed
field
remotely
addressed
are
required.
In
this
study,
we
have
developed
an
innovative
zoospore-sensing
device
by
combining
microfluidic
sampling
system
cytometer
incorporating
chemotactic
response
as
means
to
selectively
detect
motile
spores.
Spores
Phytophthora
cactorum
were
guided
swim
up
channel
following
gradient
attractant.
They
then
detected
transient
change
impedance
when
they
passed
between
pair
electrodes.
Single-zoospore
was
demonstrated
signal-to-noise
ratios
~17
carrying
flow
used
~5.9
induced
into
attractants.
This
work
provides
solution
selective,
sensitive
zoospores.
It
has
great
potential
further
portable,
addressable,
low-cost
sensing
system,
offering
tool
applications.
Analytical Methods,
Journal Year:
2024,
Volume and Issue:
16(32), P. 5509 - 5518
Published: Jan. 1, 2024
This
review
introduces
various
studies
on
cell-sized
liposomes,
which
facilitate
observation
for
the
rapid
detection
and
analysis
of
diverse
materials
based
their
size,
dynamic
shape
changes,
phase
separation,
providing
valuable
insights.
Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
58(45), P. 20060 - 20072
Published: Nov. 1, 2024
This
study
proposes
a
novel
strategy
that
utilizes
biochar
(BC)
during
anaerobic
fermentation
(AF)
to
generate
amino
acids
(AAs)
toward
nitrogen
upcycling.
The
BC,
pyrolyzed
at
800
°C
(BC800)
enhance
graphite
structures
and
electron-accepting
sites,
effectively
addresses
issues
related
biosynthetic
reducing
power
nicotinamide
adenine
dinucleotide
phosphate
insufficiency
by
altering
cellular
conditions
alleviates
feedback
inhibition
through
the
immobilization
of
end
products.
process
establishes
unique
microbial
signaling
energy
networks,
with