International Journal of Biomedical Imaging,
Journal Year:
2024,
Volume and Issue:
2024, P. 1 - 15
Published: April 9, 2024
The
kidney's
microstructure,
which
comprises
a
highly
convoluted
tubular
and
vascular
network,
can
only
be
partially
revealed
using
classical
2D
histology.
Considering
that
the
microstructure
is
closely
related
to
its
function
often
affected
by
pathologies,
there
need
for
powerful
high-resolution
3D
imaging
techniques
visualize
microstructure.
Here,
we
present
how
cryogenic
contrast-enhanced
microCT
(cryo-CECT)
allowed
visualization
of
glomeruli,
tubuli,
vasculature.
By
comparing
different
contrast-enhancing
staining
agents
freezing
protocols,
found
preferred
sample
preparation
protocol
was
combination
with
1:2
hafnium(IV)-substituted
Wells-Dawson
polyoxometalate
submersion
in
isopentane
at
-78°C.
This
optimized
showed
sensitive,
allowing
detect
small
pathology-induced
microstructural
changes
mouse
model
mild
trauma-related
acute
kidney
injury
after
thorax
trauma
hemorrhagic
shock.
In
summary,
demonstrated
cryo-CECT
an
effective
histopathological
tool
allows
enhance
our
understanding
tissue
their
function.
Cell,
Journal Year:
2024,
Volume and Issue:
187(10), P. 2502 - 2520.e17
Published: May 1, 2024
Human
tissue,
which
is
inherently
three-dimensional
(3D),
traditionally
examined
through
standard-of-care
histopathology
as
limited
two-dimensional
(2D)
cross-sections
that
can
insufficiently
represent
the
tissue
due
to
sampling
bias.
To
holistically
characterize
histomorphology,
3D
imaging
modalities
have
been
developed,
but
clinical
translation
hampered
by
complex
manual
evaluation
and
lack
of
computational
platforms
distill
insights
from
large,
high-resolution
datasets.
We
present
TriPath,
a
deep-learning
platform
for
processing
volumes
efficiently
predicting
outcomes
based
on
morphological
features.
Recurrence
risk-stratification
models
were
trained
prostate
cancer
specimens
imaged
with
open-top
light-sheet
microscopy
or
microcomputed
tomography.
By
comprehensively
capturing
morphologies,
volume-based
prognostication
achieves
superior
performance
traditional
2D
slice-based
approaches,
including
clinical/histopathological
baselines
six
certified
genitourinary
pathologists.
Incorporating
greater
volume
improves
prognostic
mitigates
risk
prediction
variability
bias,
further
emphasizing
value
larger
extents
heterogeneous
morphology.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Abstract
The
concomitant
development
and
evolution
of
lung
computed
tomography
(CT)
artificial
intelligence
(AI)
has
allowed
non-invasive
imaging
to
be
a
key
part
the
clinical
care
patients
with
major
diseases,
such
as
cancer.
However,
paucity
labeled
CT
data
limited
training
highly
efficacious
AI
models
thereby
retarded
broad-scale
adoption
deployment
AI-based
in
real-world
setting.
In
this
paper,
We
introduce
LCTfound,
foundational
model
that
encodes
images
along
correlated
information,
into
neural
network.
LCTfound
used
self-supervised
learning
pre-trained
by
diffusion
using
large
dataset
containing
105,184
scans
(totaling
more
than
28
million
images)
from
multiple
centers.
was
evaluated
on
8
categories
tasks,
ranging
scanning-level
diagnosis
pixel-level
image
restoration,
including
segmentation
mediastinal
neoplasm,
pulmonary
alveolar
proteinosis,
prognosis
non-small
cell
cancer,
prediction
pathological
response
neoadjuvant
chemoimmunotherapy,
whole
3D
modeling
for
surgical
navigation,
virtual
angiography(CTA),
reconstruction
sparse
views,
enhancement
low-dose
images.
Equipped
robust
few-shot
capability,
outperformed
previously
state-of-the-art
all
above
tasks.
is
advancements
representation
CT,
laying
groundwork
operates
high
efficacy
across
spectrum
low-level
high-level
tasks
serving
dual
purpose
aiding
diseases
improving
quality
imaging.
Nature Communications,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Oct. 20, 2022
Abstract
Biological
tissues
comprise
a
spatially
complex
structure,
composition
and
organization
at
the
microscale,
named
microstructure.
Given
close
structure-function
relationships
in
tissues,
structural
characterization
is
essential
to
fully
understand
functioning
of
healthy
pathological
as
well
impact
possible
treatments.
Here,
we
present
nondestructive
imaging
approach
perform
quantitative
3D
histo(patho)logy
biological
termed
Cryogenic
Contrast-Enhanced
MicroCT
(cryo-CECT).
By
combining
sample
staining,
using
an
X-ray
contrast-enhancing
staining
agent,
with
freezing
optimal
rate,
cryo-CECT
enables
visualization
analysis
individual
tissue
constituents,
such
muscle
collagen
fibers.
We
applied
on
murine
hearts
subjected
pressure
overload
following
transverse
aortic
constriction
surgery.
Cryo-CECT
allowed
analyze,
unprecedented
manner,
orientation
diameter
fibers
entire
heart,
localization
fibrotic
regions
within
myocardial
layers.
foresee
further
applications
optimization
tissue/food
preservation
donor
banking,
showing
that
also
has
clinical
industrial
potential.
Acta Biomaterialia,
Journal Year:
2024,
Volume and Issue:
178, P. 1 - 12
Published: Feb. 22, 2024
Cardiovascular
diseases
are
the
leading
cause
of
death
worldwide
and
include,
among
others,
critical
conditions
aortic
wall.
Importantly,
such
require
effective
diagnosis
treatment,
which
not
yet
accurate
enough.
However,
they
could
be
significantly
strengthened
with
predictive
material
models
In
particular,
support
surgical
decisions,
preoperative
planning,
estimation
postoperative
tissue
remodeling.
developing
a
model
requires
experimental
data
showing
both
structural
parameters
mechanical
behavior.
Such
can
obtained
using
multimodal
experiments.
This
review
therefore
discusses
current
approaches
to
strength
wall
is
determined
primarily
by
its
passive
components,
i.e.,
mainly
collagen,
elastin,
proteoglycans.
Therefore,
this
focuses
on
experiments
that
relate
behavior
human
structure
organization
components.
classified
according
expected
results.
Multiple
examples
provided
for
each
class
summarized
highlighted
advantages
disadvantages
method.
Finally,
future
directions
envisioned
evaluated.
Multimodal
innovative
have
gained
interest
very
quickly,
but
also
recently.
presents
first
clear
summary
groundbreaking
research
in
field
The
benefits
limitations
various
types
thoroughly
discussed,
comprehensive
overview
possible
results
provided.
Although
performed
tissues,
methods
used
described
limited
tissues
extended
other
soft
materials.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Jan. 27, 2023
Abstract
Cerebrospinal
fluid
(CSF)
is
essential
for
the
development
and
function
of
central
nervous
system
(CNS).
However,
brain
its
interstitium
have
largely
been
thought
as
a
single
entity
through
which
CSF
circulates,
it
not
known
whether
specific
cell
populations
within
CNS
preferentially
interact
with
CSF.
Here,
we
develop
technique
tracking,
gold
nanoparticle-enhanced
X-ray
microtomography,
to
achieve
micrometer-scale
resolution
visualization
circulation
patterns
during
development.
Using
this
method
subsequent
histological
analysis
in
rodents,
identify
previously
uncharacterized
pathways
from
subarachnoid
space
(particularly
basal
cisterns)
that
mediate
CSF-parenchymal
interactions
involving
24
functional-anatomic
groupings
spinal
cord.
distribution
these
areas
restricted
early
altered
posthemorrhagic
hydrocephalus.
Our
study
also
presents
particle
size-dependent
including
interaction
between
neurons
small
tracers,
but
large
tracers.
These
findings
implications
understanding
biological
basis
normal
pathogenesis
broad
range
disease
states,
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(5), P. e26796 - e26796
Published: Feb. 24, 2024
Regeneration
of
injured
tendons
and
ligaments
(T/L)
is
a
worldwide
need.
In
this
study
electrospun
hierarchical
scaffolds
made
poly-L(lactic)
acid/collagen
blend
were
developed
reproducing
all
the
multiscale
levels
aggregation
these
tissues.
Scanning
electron
microscopy,
microCT
tensile
mechanical
tests
carried
out,
including
digital
volume
correlation
analysis
to
measure
full-field
strain
distribution
structures.
The
principal
strains
(εp1
εp3)
described
pattern
caused
by
nanofibers
rearrangement,
while
deviatoric
revealed
related
internal
sliding
bundles.
results
confirmed
biomimicry
such
scaffolds,
paving
way
further
tissue
engineering
clinical
applications.
Physics in Medicine and Biology,
Journal Year:
2023,
Volume and Issue:
68(11), P. 115014 - 115014
Published: May 11, 2023
Abstract
Objectives.
As
the
central
organ
of
respiratory
system,
human
lung
is
responsible
for
supplying
oxygen
to
blood,
which
reaches
erythrocytes
by
diffusion
through
alveolar
walls
and
then
distributed
throughout
body.
By
exploiting
difference
in
electron
density
detected
a
phase
shift
soft
tissue,
high-resolution
x-ray
phase-contrast
computed
tomography
(XPCT)
can
resolve
biological
structures
sub-
μ
m
range,
shedding
new
light
on
three-dimensional
structure
lungs,
physiological
functions
pathological
mechanisms.
Approach.
This
work
presents
both
synchrotron
laboratory
XPCT
results
postmortem
tissue
from
autopsies
biopsies
embedded
with
various
preparation
protocols
such
as
precision-cut
slices,
cryogenically
fixed
well
paraffin
alcohol
tissue.
The
selection
abnormalities
includes
channel
Lambert,
bronchus-associated
lymphoid
capillary
dysplasia
misalignment
pulmonary
veins.
Subsequently,
quantification
visualization
approaches
are
presented.
Main
results.
overall
high
image
quality
even
in-house
scans
case
FFPE
be
exploited
wide
range
pathologies
translated
dedicated
optimized
instrumentation
could
operated
clinical
setting.
using
radiation,
contrast
further
increased
sized
features
down
sub-cellular
level.
demonstrate
that
including
sample
mounting
liquids
used.
Significance.
With
XPCT,
poorly
understood
3D
identified
larger
volume
overview
subsequently
studied
more
detail
at
higher
resolution.
full
structure,
respective
airways
or
vascular
networks,
different
pathophysiologic
mechanisms
elucidated
least
underpinned
structural
data.
Moreover,
data
used
validate
provide
ground
truth
standardizing
method.