Design automation for deterministic lateral displacement by leveraging deep Q-network
Biomicrofluidics,
Journal Year:
2025,
Volume and Issue:
19(2)
Published: March 1, 2025
Despite
the
widespread
application
of
microfluidic
chips
in
research
fields,
such
as
cell
biology,
molecular
chemistry,
and
life
sciences,
process
designing
new
for
specific
applications
remains
complex
time-consuming,
often
relying
on
experts.
To
accelerate
development
high-performance
high-throughput
chips,
this
paper
proposes
an
automated
Deterministic
Lateral
Displacement
(DLD)
chip
design
algorithm
based
reinforcement
learning.
The
proposed
treats
throughput
sorting
efficiency
DLD
key
optimization
objectives,
achieving
multi-objective
optimization.
integrates
existing
results
from
our
team,
enabling
rapid
evaluation
scoring
parameters.
Using
comprehensive
performance
system
deep
Q-network
technology,
can
balance
optimal
separation
high
chips.
Additionally,
quick
execution
capability
effectively
guides
engineers
developing
during
phase.
Language: Английский
Arched Microfluidic Channel for the Promotion of Axonal Growth Performance
iScience,
Journal Year:
2024,
Volume and Issue:
27(10), P. 110885 - 110885
Published: Sept. 4, 2024
Uniformly
distributed
fluid
shear
stress
can
promote
axonal
growth,
aiding
in
the
efficient
construction
of
functional
neural
interfaces.
However,
challenges
remain
micro-scale
environment
with
a
uniform
fluidic
distribution.
In
this
study,
we
designed
and
fabricated
microfluidic
chip
arched-section
channels
(AMCs)
to
increase
primary
cortical
neuron
growth
rate
terminal
number
by
constructing
uniform-stress-distributed
environment.
Inspired
three-dimensional
(3D)
microenvironment
where
cerebrospinal-fluid-contacting
neurons
are
located,
surface
curvature
traditional
rectangular-section
channel
(RMC)
was
adjusted
construct
structures
3D
curved
surfaces.
Compared
those
on
RMC
chips,
average
axons
AMC
chips
increased
8.9%
within
19
days,
terminals
14.9%.
This
platform
provides
structure
that
effectively
has
potential
more
complex
Language: Английский