The
event
detection
technique
has
been
introduced
to
light-field
microscopy,
boosting
its
imaging
speed
in
orders
of
magnitude
with
simultaneous
axial
resolution
enhancement
scattering
medium.
The Journal of Cell Biology,
Journal Year:
2024,
Volume and Issue:
223(11)
Published: Oct. 14, 2024
Migrasomes,
vesicular
structures
discovered
in
migrating
cells,
arise
from
the
junctions
or
tips
of
retraction
fibers,
and
gradually
grow
to
microscale
vesicles.
Migrasomes
have
garnered
attention
for
their
role
intercellular
communication
potential
therapeutic
implications.
This
review
presents
an
overview
recent
advances
migrasome
biology,
covering
mechanisms
biogenesis,
essential
physiological
roles,
association
with
various
diseases,
alongside
applications.
Furthermore,
we
share
our
perspectives
on
future
directions
study
migrasomes
highlight
challenges
that
remain
this
developing
area
research.
Applied Physics Letters,
Journal Year:
2025,
Volume and Issue:
126(5)
Published: Feb. 3, 2025
Accurate
three-dimensional
(3D)
blood
flow
imaging
with
high
spatiotemporal
resolution
and
significant
detection
depth
is
essential
for
studying
vascular
structure-related
diseases.
In
this
Letter,
we
introduce
a
label-free
3D
optical
angiography
technique
via
time-frequency
domain
analysis
(TFDA)
of
focal
modulated
dynamic
flow.
First,
low-magnification
telecentric
lens
used
sparse
axial
sampling
within
large
depth-of-field
range
to
obtain
coarse
estimate
depth.
Then,
based
on
the
frequency-depth
characteristics
signals,
TFDA-based
focusing
evaluation
function
established
in
combination
Lambert–Beer's
law,
achieving
mean
absolute
percentage
error
2.06%.
Finally,
validation
3-day-old
chicken
embryo
demonstrated
lateral
spatial
2.95
μm
time
11.5
s
4.95
×
0.7
mm3
sample.
Our
method
provides
effective
localization
by
assessing
modulation
intensity
relative
plane
position,
offering
promising
support
disease
research.
Clinical Epigenetics,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: Feb. 27, 2025
Currently,
the
non-invasive
diagnostic
methods
for
nasopharyngeal
carcinoma
(NPC)
continue
to
grapple
with
challenge
of
low
sensitivity.
The
hypermethylation
tumor
suppressor
genes
is
an
established
early
event
in
NPC
pathogenesis.
Consequently,
we
conducted
whole-genome
methylation
sequencing
on
plasma
cell-free
DNA
(cfDNA)
from
six
cases
and
four
healthy
controls,
integrating
Illumina
Human
Methylation
450
K
microarray
data
GEO
database
comprising
samples
non-cancerous
tissue
(NP).
As
result,
screened
only
one
CpG
island
associated
cell
type-specific
regulation
within
candidate
gene
VILL
(Vilin
Like),
which
exhibits
specific
patterns
NPC.
We
validated
our
findings
using
25
pairs
NP
GEO,
alongside
9,736
pan-cancer
tissues
TCGA
656
human
leukocyte
sourced
through
analysis.
Based
this,
designed
a
methylation-specific
qPCR
(qMSP)
system
gene,
then
tested
it
192
primary
154
NC
samples.
new
qMSP
when
compared
EBV
revealed
sensitivity
80.2%
vs.81.3%
(78.8%
vs.54.5%
early-stage
NPC),
specificity
100%
vs.
93.5%.
Notably,
employing
combined
methodology
further
enhanced
94.8%,
including
rate
90.9%
diagnosis.
Therefore,
assessment
detection
presents
promising
avenue
diagnosis
NPC,
particularly
beneficial
detection.
Advanced Intelligent Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
The
integration
of
foundation
models
in
artificial
intelligence
(AI)
is
transforming
computational
microscopy,
driving
significant
advancements
biomedical
research.
Trained
on
extensive
and
diverse
datasets,
these
overcome
critical
limitations
traditional
such
as
low
resolution,
slow
processing
speeds,
difficulties
analyzing
complex,
high‐dimensional
biological
data.
Foundation
enable
enhanced
image
accelerated
data
processing,
real‐time
analysis
dynamic
processes.
Despite
advancements,
challenges
persist,
including
concerns
related
to
quality,
model
generalizability
across
varied
contexts,
the
interpretability
AI‐generated
insights.
This
review
explores
application
emphasizing
their
theoretical
foundations
practical
implications
disciplines.
Key
obstacles
are
identified,
requirement
for
large‐scale,
high‐quality
annotated
datasets
need
adaptation
specific
clinical
preclinical
settings.
highlights
transformative
potential
advancing
precision
medicine,
improving
disease
diagnostics,
enabling
innovative
therapeutic
strategies,
ultimately
reshaping
landscape