The Potential of Optical Technologies in Early Virus Detection; Prospects in Addressing Future Viral Outbreaks
Critical Reviews in Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 29
Published: March 27, 2025
The
urgent
need
for
sensitive,
rapid,
and
reliable
diagnostic
methodologies
to
control
prevent
life-threatening
pandemic
infectious
disease,
such
as
COVID-19,
remains
a
critical
priority.
Timely
on-site
detection
of
viral
pathogens
is
essential
effective
disease
management
mitigation
societal
disruptions.
Recent
advancements
in
optical
methods
have
positioned
them
at
the
forefront
healthcare
diagnostics,
offering
high
sensitivity
specificity
viable
alternatives
conventional
techniques
Polymerase
Chain
Reaction
(PCR),
which
often
suffer
from
time
delays
limited
accessibility
resource-constrained
environments.
This
review
elucidates
potential
various
techniques,
highlighting
their
advantages
over
traditional
methods.
It
encompasses
range
modalities,
including
fluorescence-based
approaches,
Raman
spectroscopy
(RS),
Plasmonic
(e.g.,
surface
plasmon
resonance
(SPR),
localized
SPR,
(LSPR),
surface-enhanced
(SERS),
fluorescence
(SEF)),
super
resolution
microscopies
(SRMs),
attenuated
total
reflectance-Fourier
transform
infrared
(ATR-FTIR),
integrated
platforms
waveguides
molecularly
imprinted
polymer
(MIP)-based
biosensors.
Additionally,
evolution
novel
biosensors,
particularly
5th
6th
generation
challenges
related
these
technologies
were
discussed.
studies
reviewed
aims
advance
development
portable,
specific,
cost-effective
point-of-care
(POC)
devices
rapid
pathogens.
Language: Английский
Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy
Patterns,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101181 - 101181
Published: March 1, 2025
Language: Английский
The triple code model for advancing research in rare and undiagnosed diseases beyond the base pairs
Epigenomics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 10
Published: Dec. 4, 2024
Rare
and
undiagnosed
diseases
pose
significant
challenges
for
understanding
their
mechanisms,
diagnosis,
treatment.
The
Triple
Code
Model,
an
integrative
paradigm
described
here,
considers
the
combined
influence
of
genetic
code,
epigenetic
nuclear
structure
(an
emerging
code),
as
fundamental
biochemical
mechanisms
underlying
many
rare
diseases.
Studies
demonstrate
dysfunctional
membrane
cytoplasmic
signals
instruct
epigenome
to
ultimately
impact
3D
dynamics
nucleus,
highlighting
close
interrelationships.
Consequently,
this
model
offers
a
holistic
perspective
on
by
moving
beyond
solely
view.
We
propose
that
integrated
framework
will
efficiently
guide
disease
research
taking
it
'Beyond
Base
Pairs,'
leading
improved
diagnostics
personalized
treatments.
Language: Английский
Should Artificial Intelligence Play a Durable Role in Biomedical Research and Practice?
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(24), P. 13371 - 13371
Published: Dec. 13, 2024
During
the
last
decade,
artificial
intelligence
(AI)
was
applied
to
nearly
all
domains
of
human
activity,
including
scientific
research.
It
is
thus
warranted
ask
whether
AI
thinking
should
be
durably
involved
in
biomedical
This
problem
addressed
by
examining
three
complementary
questions
(i)
What
are
major
barriers
currently
met
investigators?
suggested
that
during
2
decades
there
a
shift
towards
growing
need
elucidate
complex
systems,
and
this
not
sufficiently
fulfilled
previously
successful
methods
such
as
theoretical
modeling
or
computer
simulation
(ii)
potential
meet
aforementioned
need?
it
recent
well-suited
perform
classification
prediction
tasks
on
multivariate
possibly
help
data
interpretation,
provided
their
efficiency
properly
validated.
(iii)
Recent
representative
results
obtained
with
machine
learning
suggest
may
comparable
displayed
operators.
concluded
play
an
important
role
practice.
Also,
already
other
physics,
combining
conventional
might
generate
further
progress
new
applications,
involving
heuristic
interpretation.
Language: Английский
Confocal Microscopy: Revolutionizing Three-Dimensional Imaging In Biological Research.
African Journal of Biomedical Research,
Journal Year:
2024,
Volume and Issue:
unknown, P. 7662 - 7671
Published: Dec. 16, 2024
Confocal
microscopy
is
a
high-resolution
imaging
technique
that
uses
laser
scanning
to
create
sharp,
three-dimensional
images
of
biological
samples,
improving
the
visualization
complex
specimens.Confocal
has
wide
range
applications
including
stem
cell
and
biofilm
analysis,
disease
diagnosis
etc.
owing
its
ability
capture
detailed
cellular
structures,
allowing
for
detection
abnormalities
in
tissue
morphology
organization.The
growing
interest
this
technology
underscores
importance
understanding
foundations
effectively
address
challenges
further
advance
applications.This
review
explores
history,
principles,
confocal
biology,
highlighting
trends,
challenges,
future
advancements
technology.
Language: Английский