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.
Biosensors,
Год журнала:
2023,
Номер
13(9), С. 884 - 884
Опубликована: Сен. 13, 2023
Cancer
is
a
fatal
disease
and
significant
cause
of
millions
deaths.
Traditional
methods
for
cancer
detection
often
have
limitations
in
identifying
the
its
early
stages,
they
can
be
expensive
time-consuming.
Since
typically
lacks
symptoms
only
detected
at
advanced
it
crucial
to
use
affordable
technologies
that
provide
quick
results
point
care
diagnosis.
Biosensors
target
specific
biomarkers
associated
with
different
types
offer
an
alternative
diagnostic
approach
care.
Recent
advancements
manufacturing
design
enabled
miniaturization
cost
reduction
point-of-care
devices,
making
them
practical
diagnosing
various
diseases.
Furthermore,
machine
learning
(ML)
algorithms
been
employed
analyze
sensor
data
extract
valuable
information
through
statistical
techniques.
In
this
review
paper,
we
details
on
how
contribute
ongoing
development
processing
techniques
biosensors,
which
are
continually
emerging.
We
also
used
along
comparison
performance
ML
sensing
modalities
terms
classification
accuracy.
Abstract
The
existence
of
many
background
blood
cells
hinders
the
accurate
identification
circulating
tumor
(CTCs)
in
cancer
patients.
To
unlock
this
limitation,
a
hydrodynamic
sorting‐mechanotyping
cytometry
(HSMC)
integrated
with
sorting‐concentration
chip
and
detection
is
proposed
for
simultaneously
achieving
high‐throughput
cell
sorting
multi‐parameter
mechanotyping
sorted
cells.
HSMC
adopts
spiral
inertial
microfluidics
label‐free
manner,
allowing
efficient
enrichment
from
large
Then,
are
concentrated
by
concentration
unit
finally
passed
through
deformation.
has
high
throughput
can
successfully
reveal
differences
cellular
mechanical
properties.
After
characterizing
optimizing
single
chips,
white
(WBCs)
three
types
(A549,
MCF‐7,
MDA‐MB‐231
cells)
achieved.
accuracies
WBCs
different
all
larger
than
94%,
while
highest
accuracy
up
to
99.2%.
This
study
envisions
that
will
offer
an
avenue
analysis
intrinsic
mechanics
clinical
medicine.
Analytical Chemistry,
Год журнала:
2024,
Номер
96(11), С. 4419 - 4429
Опубликована: Март 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.
Rapid
diagnosis
and
real-time
monitoring
are
of
great
important
in
the
fight
against
cancer.
However,
most
available
diagnostic
technologies
time-consuming
labor-intensive
commonly
invasive.
Here,
we
describe
CytoExam,
an
automatic
liquid
biopsy
instrument
designed
based
on
inertial
microfluidics
impedance
cytometry,
which
uses
a
deep
learning
algorithm
for
analysis
circulating
tumor
cells
(CTCs).
In
silico
vitro
experiments
demonstrated
that
CytoExam
could
achieve
label-free
detection
CTCs
peripheral
blood
cancer
patients
within
15
min.
The
clinical
applicability
was
also
verified
using
samples
from
10
healthy
donors
>50
with
breast,
colorectal,
or
lung
Significant
differences
number
collected
predicted
were
observed
between
2
groups,
variations
dielectric
properties
being
observed.
ultra-fast
minimally
invasive
features
may
pave
way
new
paths
scientific
research.
Nanotechnology and Precision Engineering,
Год журнала:
2025,
Номер
8(4)
Опубликована: Май 20, 2025
In
fluorescence
flow
cytometry,
spectral
overlap
among
multiple
fluorescent
labels
cannot
be
avoided,
and
thus
detected
intensities
need
to
compensated.
Although
compensation
in
cytometry
has
been
widely
used
for
many
years,
it
still
lacks
quantitative
evaluations
validate
its
effectiveness.
Using
a
home-developed
nine-color
cytometer,
this
study
first
obtains
calibration
curves
by
assaying
gradient
concentrations
of
nine
different
fluorochromes
individually,
with
the
highest
each
fluorochrome
being
obtain
spillover
matrix.
Mixed
solutions
are
analyzed
which
obtained
compensated
matrix,
translated
specific
based
on
curve
compared
nominal
values.
Three
mixed
Brilliant
Violet
650
711,
Alexa
Fluor
488
PE,
Pacific
Orange,
488,
PE
tested,
observed
reduce
excessive
signals
due
overlap.
Specifically,
concentration
deviations
(before
vs
after
compensation)
comparison
values
711
quantified
as
40.6%
14.9%
6.7%
1.9%,
respectively.
The
results
presented
here
provide
reference
that
can
effectively
address
issue
cytometry.
Lab on a Chip,
Год журнала:
2023,
Номер
23(20), С. 4528 - 4539
Опубликована: Янв. 1, 2023
Cell
mechanical
properties
provide
a
label-free
marker
for
indicating
cell
states
and
disease
processes.
Although
microfluidic
deformability
cytometry
has
demonstrated
great
potential
successes
in
phenotyping
recent
years,
its
universal
applicability
characterizing
multiple
sizes
of
cells
using
single
device
not
been
realized.
Herein,
we
propose
high-throughput
adjustable
integrated
with
three-dimensional
(3D)
elasto-inertial
focusing
virtual
fluidic
channel.
By
properly
adjusting
the
flow
ratio
sample
sheath,
channel
wide
solid
can
generate
strong
shear
force
normal
direction
velocity
simultaneously
squeeze
from
both
sides
to
induce
significant
deformation.
The
combination
provides
hydrodynamic
symmetrical
inducing
homogeneous
In
addition,
our
system
only
achieves
rapid
precise
deformation,
but
also
allows
detection
at
high
throughput
up
3000
per
second.
mini-bilateral
segmentation
network
(mini-BiSeNet)
was
developed
identify
extract
features
quickly.
classification
different
populations
(A549,
MCF-7,
MDA-MB-231,
WBCs)
carried
out
based
on
size
applying
deep
learning
classification,
accuracy
reaching
approximately
90%
achieved.
We
revealed
pleural
effusions.
flexibility
holds
promise
various
biological
samples.
Analytical Chemistry,
Год журнала:
2023,
Номер
95(49), С. 18180 - 18187
Опубликована: Ноя. 29, 2023
The
counts
and
phenotypes
of
circulating
tumor
cells
(CTCs)
in
whole
blood
are
useful
for
disease
monitoring
prognostic
assessment
cancer.
However,
phenotyping
CTCs
the
is
difficult
due
to
presence
a
large
number
background
cells,
especially
some
with
features
similar
those
cells.
Herein,
we
presented
viscoelastic-sorting
integrated
deformability
cytometer
(VSDC)
high-throughput
label-free
sorting
high-precision
mechanical
A
chip
removing
detection
detecting
multiple
cellular
properties
were
into
our
VSDC.
Our
VSDC
has
efficiency
purity
over
95%
81%
respectively.
Furthermore,
parameters
used
distinguish
from
white
using
machine
learning.
An
accuracy
97%
identifying
was
successfully
achieved
highest
identification
99.4%
MCF-7
It
envisioned
that
will
open
up
new
avenues
single-cell
analysis
various
biomedical
applications.
Electrophoresis,
Год журнала:
2023,
Номер
45(13-14), С. 1212 - 1232
Опубликована: Ноя. 1, 2023
Abstract
Single‐cell
biophysical
properties
play
a
crucial
role
in
regulating
cellular
physiological
states
and
functions,
demonstrating
significant
potential
the
fields
of
life
sciences
clinical
diagnostics.
Therefore,
over
last
few
decades,
researchers
have
developed
various
detection
tools
to
explore
relationship
between
changes
biological
cells
human
diseases.
With
rapid
advancement
modern
microfabrication
technology,
microfluidic
devices
quickly
emerged
as
promising
platform
for
single‐cell
analysis
offering
advantages
including
high‐throughput,
exceptional
precision,
ease
manipulation.
Consequently,
this
paper
provides
an
overview
recent
advances
systems
their
applications
field
cancer.
The
working
principles
latest
research
progress
property
are
first
analyzed,
highlighting
significance
electrical
mechanical
properties.
development
data
acquisition
processing
methods
real‐time,
practical
then
discussed.
Furthermore,
differences
tumor
normal
outlined,
illustrating
utilizing
cell
identification,
classification,
drug
response
assessment.
Lastly,
we
summarize
limitations
existing
properties,
while
also
pointing
out
prospects
future
directions
cancer
diagnosis
treatment.
Analytical Chemistry,
Год журнала:
2024,
Номер
96(44), С. 17754 - 17764
Опубликована: Окт. 21, 2024
The
microfluidic
impedance
flow
cytometer
(m-IFC)
using
constricted
microchannels
is
an
appealing
choice
for
the
high-throughput
measurement
of
single-cell
mechanical
properties.
However,
channels
smaller
than
cells
are
susceptible
to
irreversible
blockage,
extremely
affecting
stability
system
and
throughput.
Meanwhile,
common
practice
extracting
a
single
quantitative
index,
i.e.,
total
cell
passage
time,
through
part
inadequate
decipher
complex
properties
individual
cells.
Herein,
this
study
presents
long-term
stable
multifeature
m-IFC
based
on
channel
phenotyping.
blockage
problem
effectively
overcome
by
adding
tiny
xanthan
gum
(XG)
polymers.
can
pass
at
rate
500
μL/h
without
clogging,
exhibiting
high
throughput
(∼240
samples
per
second)
(∼2
h).
Moreover,
six
detection
regions
were
implemented
capture
multiple
features
related
whole
process
passing
long-constricted
channel,
e.g.,
creep,
friction,
relaxation
stages.
To
verify
performance
m-IFC,
treated
with
perturbations
microtubules
microfilaments
within
cytoskeleton
detected,
respectively.
It
suggests
that
extracted
provide
more
comprehensive
clues
analysis
in
structural
transformation.
Overall,
our
proposed
exhibits
advantages
nonclogging
throughput,
which
be
extended
other
types
nondestructive
real-time
phenotyping
cost-effective
applications.
