Chloride
is
the
most
abundant
anion
in
cell
physiology
and
plays
many
critical
roles
maintaining
cellular
homeostasis.
However,
current
chloride
sensors
are
rare,
with
inherent
sensitivity
their
emission
properties,
such
as
vulnerability
to
pH
changes
or
short
lifetimes.
These
limitations
restrict
application
aqueous
media
imaging.
In
this
work,
we
employed
a
transition
metal
complex
bearing
pyridinium
recognition
unit
for
studied
phosphorescence
properties.
Iridium(III)
1
was
synthesized
an
alternative
chloride-sensitive
luminophore.
The
conjugable
design
also
allows
customization
desired
applications.
Complex
exhibited
high
selectivity
sensing
across
different
physiological
environments,
regardless
of
fluctuation
ionic
strength.
Additionally,
featured
long
microsecond
lifetime.
ability
can
be
measured
through
both
luminescence
intensity
long-lived
phosphorescent
lifetime
simultaneously,
providing
potential
route
Fluorescence
lifetime
imaging
(FLI)
is
a
widely
used
technique
in
the
biomedical
field
for
measuring
decay
times
of
fluorescent
molecules,
providing
insights
into
metabolic
states,
protein
interactions,
and
ligand-receptor
bindings
[1,
5].
However,
its
broader
application
fast
biological
processes,
such
as
dynamic
activity
monitoring,
clinical
use,
guided
surgery,
limited
by
long
data
acquisition
computationally
demanding
processing.
While
deep
learning
has
reduced
post-processing
times,
time-resolved
remains
bottleneck
real-time
applications.
To
address
this,we
propose
method
to
achieve
near
realtime
FLI
using
an
FPGA-based
hardware
accelerator.
Specifically,we
implemented
GRU-based
sequence-to-sequence
(Seq2Seq)
model
[3]
on
FPGA
board
compatible
with
cameras.
The
GRU
balances
accurate
processing
resource
constraints
FPGAs,
which
have
DSP
units
BRAM.
memory
computational
resources
require
efficient
scheduling
operations
allocation
deploy
models
low-latency
applications.We
these
challenges
STOMP,
queue-based
discrete-event
simulator
that
automates
optimizes
task
management
[4].
By
integrating
Seq2Seq
compressed
version,
called
Seq2SeqLite
[2],
generated
through
knowledge
distillation
(KD),
we
were
able
process
multiple
pixels
parallel,
reducing
latency
compared
sequential
We
explore
various
levels
parallelism
optimal
balance
between
performance
utilization.
Our
results
indicate
proposed
techniques
achieved
17.7x
52.0x
speedup
over
manual
model,
respectively.
Furthermore,
98%
reduction
parameters
model.
Analytical Chemistry,
Год журнала:
2024,
Номер
96(18), С. 7240 - 7247
Опубликована: Апрель 25, 2024
In
light
of
deep
tissue
penetration
and
ultralow
background,
near-infrared
(NIR)
persistent
luminescence
(PersL)
bioprobes
have
become
powerful
tools
for
bioapplications.
However,
the
inhomogeneous
signal
attenuation
may
significantly
limit
its
application
precise
biosensing
owing
to
absorption
scattering.
this
work,
a
PersL
lifetime-based
nanoplatform
via
learning
was
proposed
high-fidelity
bioimaging
in
vivo.
The
imaging
network
(PLI-Net),
which
consisted
3D-deep
convolutional
neural
(3D-CNN)
system,
logically
constructed
accurately
extract
lifetime
feature
from
profile
intensity-based
decay
images.
Significantly,
NIR
nanomaterials
represented
by
Zn1+xGa2–2xSnxO4:
0.4
%
Cr
(ZGSO)
were
precisely
adjusted
over
their
lifetime,
enabling
with
high-contrast
signals.
Inspired
adjustable
reliable
ZGSO
NPs,
proof-of-concept
further
developed
showed
exceptional
analytical
performance
hypochlorite
detection
resonance
energy
transfer
process.
Remarkably,
on
merits
dependable
anti-interference
lifetimes,
nanoprobe
provided
highly
sensitive
accurate
both
endogenous
exogenous
hypochlorite.
This
breakthrough
opened
up
new
way
development
complex
matrix
systems.
ACS Sensors,
Год журнала:
2024,
Номер
9(9), С. 4671 - 4679
Опубликована: Авг. 23, 2024
Mapping
of
O2
with
luminescent
sensors
within
intact
animals
is
challenging
due
to
attenuation
excitation
and
emission
light
caused
by
tissue
absorption
scattering
as
well
interfering
background
fluorescence.
Here
we
show
the
application
sensor
nanoparticles
(∼50–70
nm)
composed
indicator
platinum(II)
tetra(4-fluoro)phenyltetrabenzoporphyrin
(PtTPTBPF)
immobilized
in
poly(methyl
methacrylate-co-methacrylic
acid)
(PMMA-MA).
We
injected
into
gastrovascular
system
colony
fractions
reef-building
tropical
corals
that
harbor
photosynthetic
microalgae
their
tissues.
The
are
excited
red
LED
(617
emit
near-infrared
(780
nm),
which
enhances
transmission
through
biological
materials.
This
enabled
us
map
internal
concentration
via
time-domain
luminescence
lifetime
imaging
outer
layers
across
several
coral
polyps
flowing
seawater.
After
injection,
dispersed
for
hours.
While
intensity
showed
some
local
aggregation
particles,
a
more
homogeneous
distribution
larger
area
colony.
Local
stimulation
symbiont
photosynthesis
induced
oxygenation
illuminated
areas
formation
lateral
gradients
toward
surrounding
respiring
tissues,
were
dissipated
rapidly
after
onset
darkness.
Such
measurements
key
improving
our
understanding
how
regulate
chemical
microenvironment
metabolic
activity,
they
affected
environmental
stress
such
ocean
warming,
acidification,
deoxygenation.
Our
experimental
approach
can
also
be
adapted
vivo
other
natural
systems
biofilms,
plant
animal
organoids
cell
constructs,
where
conditions
relevant
high
optical
density
Annual Review of Analytical Chemistry,
Год журнала:
2022,
Номер
15(1), С. 221 - 246
Опубликована: Июнь 13, 2022
Oxygen
plays
a
fundamental
role
in
respiration
and
metabolism,
quantifying
oxygen
levels
is
essential
many
environmental,
industrial,
research
settings.
Microdevices
facilitate
the
study
of
dynamic,
oxygen-dependent
effects
real
time.
This
review
organized
around
key
needs
for
measurement
microdevices,
including
integrability
into
microfabricated
systems;
sensor
dynamic
range
sensitivity;
spatially
resolved
measurements
to
map
over
two-
or
three-dimensional
regions
interest;
compatibility
with
multimodal
multianalyte
measurements.
After
brief
overview
biological
readouts
oxygen,
followed
by
types
that
have
been
implemented
microscale
devices
sensing
mechanisms,
this
presents
select
recent
applications
organs-on-chip
vitro
models
new
capabilities
enabling
microscopy,
bioprocess
manufacturing,
pharmaceutical
industries.
With
advancement
multiplexed,
interconnected
sensors
instruments
integration
industry
workflows,
intelligent
microdevice-sensor
systems
will
further
impact
environmental
science,
medicine.
Biophysical Reports,
Год журнала:
2023,
Номер
3(2), С. 100110 - 100110
Опубликована: Май 9, 2023
Förster
resonance
energy
transfer
(FRET)
microscopy
is
used
in
numerous
biophysical
and
biomedical
applications
to
monitor
inter-
intramolecular
interactions
conformational
changes
the
2-10
nm
range.
FRET
currently
being
extended
vivo
optical
imaging,
its
main
application
quantifying
drug-target
engagement
or
drug
release
animal
models
of
cancer
using
organic
dye
nanoparticle-labeled
probes.
Herein,
we
compared
quantification
intensity-based
(sensitized
emission
analysis
with
three-cube
approach
an
IVIS
imager)
macroscopic
fluorescence
lifetime
(MFLI)
a
custom
system
time-gated-intensified
charge-coupled
device,
for
small
imaging.
The
analytical
expressions
experimental
protocols
required
quantify
product
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 15, 2024
ABSTRACT
Rationale
Trastuzumab
(TZM)
is
a
monoclonal
antibody
that
targets
the
human
epidermal
growth
factor
receptor
(HER2)
and
clinically
used
for
treatment
of
HER2-positive
breast
tumors.
However,
tumor
microenvironment
can
limit
access
TZM
to
HER2
across
whole
thereby
compromise
TZM’s
therapeutic
efficacy.
An
imaging
methodology
non-invasively
quantify
binding
TZM-HER2,
which
required
action,
distribution
within
tumors
with
varying
microenvironments
much
needed.
Methods
We
performed
near-infrared
(NIR)
fluorescence
lifetime
(FLI)
Forster
Resonance
Energy
Transfer
(FRET)
measure
TZM-HER2
binding,
using
in
vitro
microscopy
vivo
widefield
macroscopy,
overexpressing
ovarian
cancer
cells
xenografts,
respectively.
Immunohistochemistry
was
validate
results.
Results
NIR
FLI
FRET
data
show
variations
intracellular
bound
AU565
tumor-passaged
XTM
cell
lines
comparison
SKOV-3
cells.
Macroscopy
(MFLI)
display
reduced
compared
tumors,
as
validated
by
ex
immunohistochemistry.
Moreover,
AU565/XTM
xenografts
different
amounts
distributions
TME
components,
such
collagen
vascularity.
Therefore,
these
results
suggest
are
refractory
delivery
due
their
disrupted
vasculature
increased
content.
Conclusion
Our
study
demonstrates
powerful
analytical
tool
monitor
drug
both
cultures
live
systems.
Especially,
MFLI
unique
modality
directly
target
engagement
potential
elucidate
role
efficacy
intact
xenografts.
Scientific Reports,
Год журнала:
2022,
Номер
12(1)
Опубликована: Май 4, 2022
Abstract
Infections
with
intestinal
nematodes
have
an
equivocal
impact:
they
represent
a
burden
for
human
health
and
animal
husbandry,
but,
at
the
same
time,
may
ameliorate
auto-immune
diseases
due
to
immunomodulatory
effect
of
parasites.
Thus,
it
is
key
understand
how
arrive
persist
in
their
luminal
niche
interact
host
over
long
periods
time.
One
basic
mechanism
governing
parasite
cellular
tissue
functions,
metabolism,
has
largely
been
neglected
study
nematode
infections.
Here
we
use
NADH
(nicotinamide
adenine
dinucleotide)
NADPH
dinucleotide
phosphate)
fluorescence
lifetime
imaging
explanted
murine
duodenum
infected
natural
Heligmosomoides
polygyrus
define
link
between
general
metabolic
activity
possible
pathways
tissue,
during
acute
infection.
In
both
healthy
intestine,
energy
effectively
produced,
mainly
via
resembling
oxidative
phosphorylation/aerobic
glycolysis
features.
contrast,
shift
production
from
balanced
fast
anaerobic
glycolysis-like
effective
phosphorylation-like
pathways,
towards
back
different
life
cycle
phases
submucosa
versus
lumen.
Additionally,
found
increased
oxidase
(NOX)
enzymes-dependent
burst
as
compared
which
was
mirrored
by
similar
defense
reaction
We
expect
that,
here
presented
application
NAD(P)H-FLIM
live
tissues
constitutes
unique
tool
shifts
host-parasite
crosstalk,
various
parasitic
Advanced Materials,
Год журнала:
2023,
Номер
35(52)
Опубликована: Окт. 3, 2023
Abstract
Luminescence
lifetime‐based
sensing
is
ideally
suited
to
monitor
biological
systems
due
its
minimal
invasiveness
and
remote
working
principle.
Yet,
applicability
limited
in
conditions
of
low
signal‐to‐noise
ratio
(SNR)
induced
by,
e.g.,
short
exposure
times
presence
opaque
tissues.
Herein
this
limitation
overcome
by
applying
a
U‐shaped
convolutional
neural
network
(U‐NET)
improve
luminescence
lifetime
estimation
under
extremely
SNR.
Specifically,
the
prowess
U‐NET
showcased
context
thermometry,
achieving
more
precise
thermal
readouts
using
Ag
2
S
nanothermometers.
Compared
traditional
analysis
methods
decay
curve
fitting
integration,
can
extract
average
lifetimes
precisely
consistently
regardless
SNR
value.
The
improvement
achieved
performance
demonstrated
with
two
experiments
characterized
extreme
measurement
conditions:
monitoring
free‐falling
droplets,
transients
suspended
droplets
through
an
medium.
These
results
broaden
fields
including
vivo
experimentation
microfluidics,
while,
hopefully,
spurring
further
research
on
implementation
machine
learning
(ML)
sensing.
Tissue Engineering Part B Reviews,
Год журнала:
2021,
Номер
28(4), С. 926 - 937
Опубликована: Сен. 20, 2021
The
role
of
angiogenesis
in
health
and
disease
have
gained
considerable
momentum
recent
years.
Visualizing
angiogenic
patterns
associated
events
surrounding
vascular
beds
response
to
therapeutic
laboratory-grade
biomolecules
has
become
a
commonplace
regenerative
medicine
the
biosciences.
To
achieve
high-quality
imaging
for
elucidating
molecular
mechanisms
angiogenesis,
two-photon
excitation
fluorescence
(2PEF)
microscopy,
or
multiphoton
microscopy
is
increasingly
utilized
scientific
investigations.
2PEF
microscope
confers
several
distinct
advantages
over
other
techniques—for
observation
in-depth,
three-dimensional
vascularity
variety
tissue
formats,
including
fixed
specimens
vivo
vasculature
live
specimens.
Understanding
morphological
subcellular
changes
that
occur
cells
tissues
during
will
provide
insights
behavioral
responses
diseased
states,
advance
engineering
physiologically
relevant
models,
biochemical
clues
design
strategies.
We
review
applicability
limitations
on
biophysical
molecular-level
signatures
various
models.
Imaging
techniques
strategies
best
practices
be
reviewed.
Deep
provides
unique
opportunities
study
real-time.
In
contrast
cross-sectional
data
provided
by
conventional
methods,
enables
high-resolution
imaging,
acquisition
time,
real-time
visualization
events,
reduces
number
animal
models
used
research.
This
different
methods
its
application
deep
vitro
tissues.
believe
current
trends
can
transform
investigation
cancer
research,
biofabrication
vascularized