ACS Nano,
Год журнала:
2020,
Номер
14(5), С. 5435 - 5444
Опубликована: Апрель 14, 2020
Lung
cancer
has
a
high
mortality
rate,
but
an
early
diagnosis
can
contribute
to
favorable
prognosis.
A
liquid
biopsy
that
captures
and
detects
tumor-related
biomarkers
in
body
fluids
great
potential
for
early-stage
diagnosis.
Exosomes,
nanosized
extracellular
vesicles
found
blood,
have
been
proposed
as
promising
biopsy.
Here,
we
demonstrate
accurate
of
lung
cancer,
using
deep
learning-based
surface-enhanced
Raman
spectroscopy
(SERS)
the
exosomes.
Our
approach
was
explore
features
cell
exosomes
through
learning
figure
out
similarity
human
plasma
exosomes,
without
insufficient
data.
The
model
trained
with
SERS
signals
derived
from
normal
lines
could
classify
them
accuracy
95%.
In
43
patients,
including
stage
I
II
predicted
90.7%
patients
had
higher
than
average
healthy
controls.
Such
proportional
progression
cancer.
Notably,
area
under
curve
(AUC)
0.912
whole
cohort
AUC
0.910.
These
results
suggest
combination
exosome
analysis
method
Analytica Chimica Acta,
Год журнала:
2020,
Номер
1147, С. 72 - 98
Опубликована: Дек. 30, 2020
In
the
last
few
years,
LIBS
has
become
an
established
technique
for
assessment
of
elemental
concentrations
in
various
sample
types.
However,
many
applications
knowledge
about
overall
composition
is
not
sufficient.
addition,
detailed
information
distribution
within
a
heterogeneous
needed.
great
interest
imaging
studies,
since
this
allows
to
associate
obtained
with
spatial
coordinates
investigated
sample.
The
possibility
simultaneous
multi-elemental
analysis
major,
minor,
and
trace
constituents
almost
all
types
solid
materials
no
or
negligible
preparation
combined
high
speed
are
benefits
which
make
especially
attractive
when
compared
other
techniques.
first
part
review
aimed
at
providing
instrumental
requirements
necessary
successful
measurements
points
out
discusses
state-of-the-art
instrumentation
upcoming
developments.
second
dedicated
data
processing
evaluation
data.
This
chapter
focused
on
different
approaches
multivariate
chemometrics
can
be
used
e.g.
classification
but
also
quantification
final
part,
current
literature
ranging
from
bioimaging,
geoscientific
cultural
heritage
studies
field
science
summarized
reviewed.
IEEE Access,
Год журнала:
2021,
Номер
9, С. 32517 - 32548
Опубликована: Янв. 1, 2021
Automation
in
agriculture
nowadays
is
the
main
focus
and
area
of
development
for
various
countries.
The
population
rate
world
increasing
rapidly
will
be
double
upcoming
decades
need
food
also
accordingly.
To
meet
this
rapid
growth
demand,
automation
best
solution.
Traditional
strategies
employed
by
farmers
are
not
efficient
enough
to
fulfill
rising
demand.
Improper
use
nutrients,
water,
fertilizers
pesticides
disturbs
agricultural
land
remains
barren
with
no
fertility.
This
research
paper
presents
different
control
used
automate
such
as:
IoT,
aerial
imagery,
multispectral,
hyperspectral,
NIR,
thermal
camera,
RGB
machine
learning,
artificial
intelligence
techniques.
Problems
like
plant
diseases,
pesticide
control,
weed
management,
irrigation
water
management
can
easily
solved
automated
techniques
mentioned
above.
advance
methods
have
verified
increase
crops
yield
soil
fertility
become
strong.
reviews
observe
work
researchers
present
a
brief
summary
about
trends
smart
provides
flow
revenue
system
figure
15
using
technologies
their
papers.
The
increasing
application
of
meta-omics
approaches
to
investigate
the
structure,
function,
and
intercellular
interactions
microbial
communities
has
led
a
surge
in
available
data.
However,
this
abundance
human
environmental
microbiome
data
exposed
new
scalability
challenges
for
existing
bioinformatics
tools.
In
response,
we
introduce
Wekemo
Bioincloud-a
specialized
platform
-omics
studies.
This
offers
comprehensive
analysis
solution,
specifically
designed
alleviate
tool
selection
users
face
expanding
sets.
As
now,
Bioincloud
been
regularly
equipped
with
22
workflows
65
visualization
tools,
establishing
itself
as
user-friendly
widely
embraced
studying
diverse
Additionally,
enables
online
modification
vector
outputs,
registration-independent
personalized
dashboard
system
ensures
privacy
traceability.
is
freely
at
https://www.bioincloud.tech/.
Foods,
Год журнала:
2023,
Номер
12(14), С. 2753 - 2753
Опубликована: Июль 19, 2023
In
today’s
era
of
increased
food
consumption,
consumers
have
become
more
demanding
in
terms
safety
and
the
quality
products
they
consume.
As
a
result,
authorities
are
closely
monitoring
industry
to
ensure
that
meet
required
standards
quality.
The
analysis
properties
encompasses
various
aspects,
including
chemical
physical
descriptions,
sensory
assessments,
authenticity,
traceability,
processing,
crop
production,
storage
conditions,
microbial
contaminant
levels.
Traditionally,
has
relied
on
conventional
analytical
techniques.
However,
these
methods
often
involve
destructive
processes,
which
laborious,
time-consuming,
expensive,
environmentally
harmful.
contrast,
advanced
spectroscopic
techniques
offer
promising
alternative.
Spectroscopic
such
as
hyperspectral
multispectral
imaging,
NMR,
Raman,
IR,
UV,
visible,
fluorescence,
X-ray-based
provide
rapid,
non-destructive,
cost-effective,
friendly
means
analysis.
Nevertheless,
interpreting
spectroscopy
data,
whether
form
signals
(fingerprints)
or
images,
can
be
complex
without
assistance
statistical
innovative
chemometric
approaches.
These
approaches
steps
pre-processing,
exploratory
analysis,
variable
selection,
regression,
classification,
data
integration.
They
essential
for
extracting
relevant
information
effectively
handling
complexity
data.
This
review
aims
address,
discuss,
examine
recent
studies
tools
context
product
applications
trends.
Furthermore,
it
focuses
practical
aspects
spectral
handling,
model
construction,
interpretation,
general
utilization
both
qualitative
quantitative
By
exploring
advancements
their
integration
with
tools,
this
provides
valuable
insights
into
potential
future
directions
industry.
It
emphasizes
importance
efficient
development,
implementation
field
Communications Biology,
Год журнала:
2023,
Номер
6(1)
Опубликована: Янв. 28, 2023
Abstract
A
central
question
in
neuroscience
is
how
consciousness
arises
from
the
dynamic
interplay
of
brain
structure
and
function.
Here
we
decompose
functional
MRI
signals
pathological
pharmacologically-induced
perturbations
into
distributed
patterns
structure-function
dependence
across
scales:
harmonic
modes
human
structural
connectome.
We
show
that
coupling
a
generalisable
indicator
under
bi-directional
neuromodulatory
control.
find
increased
scales
during
loss
consciousness,
whether
due
to
anaesthesia
or
injury,
capable
discriminating
between
behaviourally
indistinguishable
sub-categories
brain-injured
patients,
tracking
presence
covert
consciousness.
The
opposite
signature
characterises
altered
state
induced
by
LSD
ketamine,
reflecting
psychedelic-induced
decoupling
function
correlating
with
physiological
subjective
scores.
Overall,
connectome
decomposition
reveals
neuromodulation
network
architecture
jointly
shape
activation
scales.
