►
From YouTube: DevoWorm (2020, Meeting 34): Optical Coherence Tomography, OW General Meeting preview, Hacktoberfest
Description
Attendees: Bradly Alicea, Krishna Katyal, Susan Crawford-Young, Ujjwal Singh, and Jesse Parent. Featuring a talk by Susan titled "Optical Coherence Tomography of Live Tissue"
B
B
C
C
D
D
D
D
C
C
D
D
I
think
does
somebody
want
something?
Oh
no
anyway,
so
this
is
good
for
cancer
margin,
detection,
enhancement
of
histology
images
and
actually
getting
histology
image
of
living
tissue,
and
you
can
check
the
changes
in
healthy
tissue
and
you
can
watch
how
heroic
processes
work
and
you
can
study
everything
with
this.
E
D
Anisotropic
thixotropic
and
I
said
non-linear
and
has
hysteresis
so
anisotropic
means
it's
not
the
same
in
every
direction
and
fixotopic
means
that
it
is
initially
hard
to
move
it's
like
mud
or
clay,
and
normally
you
can
a
ketchup
where
you're
trying
to
get
ketchup
out
of
a
bottle
and
you're
shaking
it
and
shaking
it
not
spending
too
much.
So
all
of
a
sudden,
it
moves.
D
E
D
D
G
D
D
D
D
D
D
D
E
D
D
E
D
D
D
This
is
the
one
in
pink
here
is
magnet
meg
the
magnetic
bead
one
and
then
arf
is.
I
should
really
put
that
in
there
acoustic
radiation
force
is
what
that
is.
So
that's
an
ultrasound
and
then
you
can
dynamic.
Indentation
is
where
you
sinusoidally
and
indebted,
and
then
there's
an
air
puff
in
your
full
thermal.
E
D
D
E
D
E
D
D
D
D
C
C
G
C
Young's
modulus,
which
is
measured
in
pressure
and
then
structural
hierarchy,
which
is
sort
of
like
the
smallest
things
you
have
you
can
find
to
the
largest.
So
you
have
cells,
basically
or
cell
components,
structures
and
then
organs,
and
so
you
said
that
brain
is
the
softest
tissue
that
they
tested
there.
C
C
Yeah,
so
it's
interesting
that,
like
these
constituent
parts
here,
you
think
about
like
a
brain
or
a
bone,
what
what
is
making
up
this
tissue-
and
so
you
can
see
that,
like
you
have
with
bone,
you
have
more
things
that
have
a
higher
young's
modulus
like
elastic
keratin,
collagen
and
brains
have
things
that
are
less
right
right,
and
so
that's
that's
how
you
get
this
sort
of.
You
know:
measurement
of
the
entire
tissue
versus
the
components.
D
C
You
can
also
do
things
like
subject
them
to
viscous
forces
in
a
fluid
so
that
you
can
do
things
you
could
put
them
in
a
bioreactor,
but
you
can
also
just
introduce
forces
at
a
regular
interval
with
like
flows
and
things
like
that,
and
so
the
idea
is
that
you
get.
The
cell
gets
exposed
to
these
cues,
which
are
environmental
cues,
and
it
triggers
some
gene
expression
program
to
move
so
in
here.
Well,
in
this
case,
this
is
in
a
I
guess
this
is
in
the
body.
D
D
C
D
C
Yeah
and
so-
and
they
also
have
I-
you
know-
I
guess
they
get-
they
have
different
configurations
with
respect
to
one
another,
so
they
they,
you
know
they
touch
each
other
and
they
have
all
these
cues
from
their
environment
and
it
results
in
in
different
gene
expression
programs.
So
you
have
some
genes
that
are
up
regulated.
C
C
Yeah
yeah,
it
is
a
that
does
happen
a
lot
actually
when
you
get
this
so
what
happens
in
this
undifferentiated
stem
cell?
Is
you
get
this?
What
they
call
multi-potency,
and
so
you
get
like
a
number
of
different
fates
that
you
can
achieve
with
the
stem
cell.
So
like
this,
in
this
case
you
have
bone
cartilage
and
fat.
C
So
you
know
you
can
have
one
of
those
fates
and
it
just
depends
on
the
cues,
but
of
course,
in
the
process
of
differentiating.
Sometimes
the
cells
die.
Sometimes
they
become
cancer
cancerous,
so
they
just
kind
of
get
dysregulated.
And
so
that's
you
know.
That's
basically
what
happens
when
the
cells
are
go
from
the
stem
cell
to
a
differentiated
cell?
They
can.
C
C
E
C
B
I
mean
whatever
yes
yeah,
so
like
type
1
muscle,
fiber
and
type
2
muscle
fiber
might
have
different.
You
know
young's
modulus
and
people
who
exercise
athletes.
Have
you
know
harder
muscle
cells
so
when
they
bring
some
ambiguity,
when
we
are,
you
know
categorizing
muscles
on
basis
of
their,
you
can
say
mechanical
characteristics,
so
muscles
of
someone
who
left
weight?
How
would
we
have.
B
D
E
C
Thank
you,
and
this
is
our
we
yeah.
We
had
a
couple
of
comments,
but
they
were
all
share.
Slides.
Thank
you.
So
thank
you.
So
the
next
order
of
business
is
the
annual
update.
So
tomorrow
we
have
a
annual
meeting
for
open
worm
and
the
meeting
is
at
12
o'clock
eastern
time
in
the
u.s.
So
that's
I
can't
remember
what
that
translates
into
utc.
I
think
four
o'clock
p.m.
Utc.
C
So
if
I
actually
invited
us
in
my
oak
to
give
little
short
presentations
on
their
things
on
their
summer
project,
so
if
they
can
make
it,
then
they
can
present.
I'm
gonna
give
some
time
for
them
to
present
on
their
materials
and
I
think
it'd
be
good
to
expose
and
introduce
the
devil,
learn
to
the
rest
of
the
open
worm
group.
C
I
don't
think
they've
I
mean
I
think
we
did
some
some
sort
of
like
presentation
at
the
beginning
of
the
summer
with
what
we
want
to
do,
but
we've
not
shown
the
finished
product.
So
this
is
very
timely
to
get
people
and
you
know,
get
people
introduced
a
wider
audience
introduced
to
this,
and
so
our
senior
contributors
are
going
to
be
the
people
who
are
at
this
meeting.
So
we
have
people,
go
you
know,
ranging
from
people
who
do
like
neural
modeling
to
people
who
are
doing
like
you
know
informatics.
C
We
often
don't
get
to
share
our
things,
because
we,
you
know
we're
in
our
own
slack
channels
and
we're
doing
our
own
things
and
in
our
own
meetings
and
it's
hard
to
get,
we
don't
really
have
as
many
as
many
cross
project
get-togethers
as
we
used
to
so
it'll,
be,
I
think,
informative
for
them
and
then
what
I
wanted
to
do
today.
Let
me
share
my
screen.
Actually
what
I
wanted
to
do
today
is
to
walk
through
this
presentation
that
I'm
going
to
present
on
behalf
of
the
group
to
the
senior
contributors.
C
C
We
have
a
lot
of
things
that
we
do
using
simulation
analysis
and
visualization,
so
we're
interested
in
development
of
c
elegans
and
other
creatures,
so
we're
interested
in
you
know
we're
talk,
we're
going
to
talk
about
axolotls,
we're
going
to
talk
about
basil
area
and
so
we'll
talk
about
those
as
well.
We
do
work
on
different
organisms.
If
you
go
to
the
website,
you'll
see
in
the
publications
that
they're
different
organisms
that
we
do
as
well
as
computational
work,
and
then
we
have
here's
devozu,
I
have
to
change
the.
C
C
C
It
was
organized
by
postdoc
out
of
baylor
medical
center
and
he
did
a
a
series
of
talks
on
c
elegans,
and
so
it
was
mostly
biological
research,
but
we
had
a
spot
and
we
presented
on
a
bunch
of
things
that
involved
both
sort
of
data,
science
and
theoretical
work,
and
so
one
of
the
things
he
talked
about
in
that
talk
was
this
idea
of
biological
models,
avoiding
spherical
cows.
So
this
is
an
old
there's.
C
An
old
joke
about
physicists
physicists
can
model
anything
as
long
as
it's
a
sphere
in
a
vacuum,
and
so
it's
it's
a
joke.
That
means
that
you're
oversimplifying
your
system
by
assuming
certain
things
about
the
system,
so
in
this
case
you're
thinking
of
a
cow
but
you're
thinking
of
it
as
a
sphere,
and
that's
of
course
not
how
cows
exist
in
the
real
world.
But
if
it's
an
easy
thing
to
model
and
so
people,
you
know
that
would
be
the
joke,
but
we
also
in
development.
C
But
I
think
it's
worth
highlighting
here
that
you,
if
you
oversimplify
a
biological
system
in
terms
of
modeling
in
terms
of
data
analysis,
that
it
can
be
not
be
a
very
good
analysis
or
model,
and
so
but
this
is
an
example
of
some
of
the
work,
and
this
is
some
the
work
we
presented
at
neuromatch
this.
These
are
embryo
networks,
and
so
this
is
a
paper
from
that
was
published
in
2018.
I
don't
think
the
larger
or
open
worm
group
has
seen
this
work
very
much,
but
this
is
the.
C
So
you
start
at
a
one
cell
or
a
two
cell
embryo
and
the
embryo
starts
the
cells
start
to
divide
and
differentiate
and
then
form
these
patterns
that
in
the
shape
in
the
form
of
tissues.
But
you
see
a
lot
of
patterns
amongst
the
cells
in
terms
of
their
position
in
terms
of
their
distance
from
one
another.
Even
before
you
start
to
get
tissues,
so
you
start
to
get
asymmetries
early.
You
start
to
get
other
things
going
on
early
before.
C
You
start
really
start
to
get
tissues
forming,
and
so
this
is
what
this
work
was,
and
you
can
actually
use
these
kind
of
embryo
networks
to
capture
a
lot
of
features
in
biological
development.
So
in
the
c
elegans
we
have
c
elegans,
that's
newly
hatched
and
so
we're
drawing
a
network
around
that
phenotype.
C
We
can
also
capture
things
like
in
the
mouse
blastocyst.
We
can
capture
differentiation
of
different
tissues
by
taking
labeling
the
different
cells
as
to
what
part
of
what
tissue
they
belong
to
and
then
plotting
them
out
on
one
of
these
circle
or
circular
graphs
and
showing
the
connections
or
the
connections
based
on
distance
between
cells,
and
we
can
see
this
sort
of
modularity
emerging,
and
so
this
is
a
potentially
powerful
tool
for
analyzing.
C
We've
really
kind
of
laid
out
this
method
in
this
paper
and
we're
planning
to
do
another
paper
as
well
and
it'll
be
interesting
to
see
where
that
kind
of
work
goes
in
this
summer.
Of
course,
I
think
might
have
did
some
work
on
network
models
and
we
did
some
in
2018
over
during
gsoc,
so
it
would
be
an
interesting
area
for
further
investigation.
C
C
You
know,
segments
of
the
cell
body.
We
can
create
centroids
of
the
cell
body.
We
can
plot
them
in
a
coordinate
system
and
analyze
the
embryos
and
create
networks
like
we
just
showed.
We
also
have
looked
at
bacillarius
cell
colony
morphology,
so
this
was
work
done
by
oil
singh
and
asmedzing,
where
they
segmented
the
bodies
of
basilaria
cells
in
a
colony.
C
This
was
also
work
done
by
thomas
harbic,
where
he
segmented
the
cells
and
then
measured
different
landmarks
on
the
cells
and
calculated
out
a
lot
of
that,
and
so
there
are
a
lot
of
things
that
we've
been
doing
in
this
area.
It's
very
exciting
work
and,
to
this
end,
we've
done
research,
but
we've
also
done
education.
So
in
this
case
we've
done,
we've
hosted
a
course
called
diva
warm
ml,
and
this
was
hosted
in
2019
at
the
end
of
2018,
so
about
a
year
ago.
C
C
C
C
C
C
So
once
we
get
these,
you
know
images
analyzed
that
creates
a
secondary
data
set,
and
then
you
can
create
a
tertiary
data
set
by
annotating
that
those
data
that
are
extracted
from
the
images
and
then
those
are
all
hosted
at
devozu,
and
so
those
are
hopefully
be
helpful
to
education
and
researchers
alike,
and
so
we
divo
learn
has
been
a
group
effort.
D4Mai
has
been
one
component
of
that,
and
so
you
can
see
here.
C
Here's
a
screenshot
of
the
sort
of
the
front
page
of
diva
mai,
and
this
you
click
through,
and
you
can
do
a
lot
of
things
here.
You
can
do
analysis,
there's
some
educational
component
as
well.
This
is
the
screenshot
of
the
devo
learn
repository.
So
we
have
these.
This
is
the
pipey
front
page.
So
this
is
like
there's
a
note,
an
example
notebook
in
here
that
kind
of
lays
out
what
you
can
do
in
evil
or
diva
learn
0.2.0
how
to
run
the
program
and
so
forth.
C
Finally,
we've
done
a
number
of
papers
that
have
been
published
in
the
last
year.
We
have
I'll
put
two
here
for
people
to
see
the
first
one
is
raising
the
connectome,
which
is
a
paper
that
was
single.
Authored,
was
based
on
the
earlier
work
on
developmental
connectomes,
which
actually
is
related
to
the
network
research
that
was
shown
earlier,
but
it
basically
considers
a
c
elegans
connectome
and
how
it
develops
from
a
single
cell.
C
That's
differentiated
way
back
at
like
200
minutes
of
embryogenesis
tracks,
the
growth
of
that
connectome
and
then
considers
how
the
connectome
sort
of
wires
itself
up
and
then
starts
to
produce
behavior.
So
it's
a
really
interesting
paper.
It
considers
a
lot
of
things
that
really
haven't
been.
I
mean
it
reviews
the
literature,
but
it
also
kind
of
introduces
a
model
for
thinking
about
the
developmental
connectome.
C
Then.
The
second
paper
is
this
towards
a
digital
diatom.
So
this
is
the
work
on
basilaria,
which
is
a
type
of
diatom
and
we've
used.
This
is
a
paper
where
we
use
deep
learning
and
some
biomechanical
techniques
to
look
at
basilary
and
think
about
it
as
more
of
another
digital
organism,
modeling
effort-
and
so
this
has
been
accepted
to
the
book-
diatom
gliding,
motility,
and
but
this
is
the
bio
archive
version.
C
These
data
have
been
generated
using
a
special
type
of
microscope
where
the
embryo
is
flipped
on
its
axis,
so
it
rotates
and
the
rotational
movement
actually
can
give
us
a
full
view
of
the
entire
surface
of
the
embryo,
and
so
we're
trying
to
figure
out
a
way
to
to
create
a
visualization
of
this,
and
this
will
be
included
into
the
diva
learn
repository
as
well.
Once
we're
done.
C
Thank
you
to
our
contributors
for
2019-2020.
I've
listed
you
in
this
list.
I
don't
know
if
I
missed
anyone,
I
was
trying
to
think
of
who
has
been
attending
our
meetings
regularly,
but
I
think
I
have
everyone.
I
also
have
our
google
summer
code,
students
for
2019
and
for
2020.
So
thank
you
for
your
contributions.
C
I
would
like
to
say
in
terms
of
the
diva
learn
slide,
that
we
also
have
a
lot
of
data
science
tutorials
that
we're
trying
to
build
and
we've
already
gotten
a
couple
of
contributions
there,
but
also
we're
trying
to
build
out
some
of
the
other
parts.
We
have
other
parts
that
we're
thinking
of
adding
like
theory,
building
in
that
and
so
that'll
all
be
part
of
diva.
Learn
as
well,
so
that's
basically
what
I
have
for
the.
C
For
the
annual
report,
I
can't
I
mean,
if
you
can
think
of
anything
else,
let
me
know
by
tomorrow
morning.
I
think
I
know
it's
like
you
know
hard
to
think
of
anything
that
I
missed.
I
mean
I
probably
have
a
better
beat
on
it
than
anyone,
but
so
again
I'm
going
to
be
presenting
that
tomorrow,
and
hopefully
people
at
diva
worm
will
think
it's
great
and
inquire
more
about
what
we're
doing
here
and
again
it
was
on
and
myocar
invited.
We
have
30
minutes.
C
C
C
G
C
Well,
we
have
you
know
we
every
year
when
we
get
together,
we
always
talk
about
like
like
the
data
science
initiative
last
year
we
talked
about
doing
then
that
didn't
really
go
anywhere,
but
maybe
this
year
we
can
get
more
momentum
behind
us
on
it.
We'll
see:
oh
newslink,
okay,
thank
you.
That's
the
new
link
to
divo
zoo,
so
that's
yeah
the
index.
I
have
to
thank
you
as
well
for
reminding
me
I'll
change
that
in
the
slide
deck.
C
So
the
last
thing
I
want
to
talk
about
quickly
before
we
go
is
hacktoberfest.
So
I
think
mayak
may
have
mentioned
this
and
also
krishna
about
hacktoberfest.
So
hacktoberfest
is
something
that
is
hosted
on
github,
usually
different
organizations
participate
and
basically,
during
the
month
of
october,
you
can
contribute
to
a
repository,
and
I
think
if
you
make
a
number
of
contributions,
I
don't
know
if
github
gives
you
like
credit
for
something
or
sometimes
the
organizations
give
out
swag
or
something
like
that,
it's
it's
a
way
to
get
people
involved.
C
G
G
C
C
We
haven't
really
thought
about
like
doing
it
in
diva
worm
or
doing
in
an
open
world
which
we
might
give
people
for
that,
but
it's
definitely
worth
sort
of
promoting,
and
so
I
I
would,
I
think,
we've
talked
about
promoting
it
on
evil,
learn,
and
so
what
I
can
do
for
that
is.
I
can
put
out
a
blog
post
at
the
beginning
of
the
month
and
then
maybe
we
can
get
some
people
to
to
promote
this.
You
know
throughout
social
media,
and
maybe
people
will
come
and
okay.
Thank
you
as
well.
C
I
promoted
diva
learning
my
college
groups,
so
this
is
one
thing
like
if
we,
I
think,
we've
already
promoted,
diva
learn
a
little
bit
in
terms
of
social
media
and
blog
the
blogosphere,
but
you
know
to
have
like
set
well
hacktoberfest.
You
know
you
can
get
special
acknowledgement
of
your
commits
or
something
like
that.
It
might,
you
know,
drive
some
contributors
to
the
platform.
We
don't
know
yet.
So
this
is
the
hacktoberfest
logo.
C
The
way
I
have
here
on
this
readme
is
welcome
to
hacktoberfest
details
coming
soon
in
the
meanwhile
check
out
our
divalent
repositories
and
our
diva
and
ai
resources
want
to
participate
in
oktoberfest
to
divorm.
Look
at
our
issue
board
for
group
meetings.
So
I
have
the
group
meetings
issue
board,
which
we'll
need
to
like
update
a
little
bit,
we'll
look
at
the
contribution
guidelines
for
diva
worms.
C
So
we
we
have
the
diva
learner
contribution
guidelines
and
you
can
contribute
a
data
science
demo
and
even
I
think
susan
actually
mentioned
that
she
had
some
materials.
She
might
contribute
to
that.
Some
I
mean
any.
We
really
want
any
any
kind
of
data
science,
oriented
or
data
analysis
oriented
stuff
you
have
so
if
you
have
something
you
can
submit
it,
I
will
create
good
first
issues
and
hacktoberfest
issues
in
the
diva.
That's
good!
Thank
you!
Usual
yeah.
We
can
create
hacktoberfest
tissues.
C
I
don't
have
a
hacktoberfest
tab
tag,
but
we
can
make
one.
If
you
go
into
the
issues-
and
you
know
you
go
into
the
labels,
you
can
create
a
label
and
it's
hacktoberfest
and
we
can
label
those
with
good
first
issue
and
hacktoberfest
labels.
I
think
the
good
first
issue
is
already
there,
but
like
the
hecktoberfest
one
is
you
know
just
you
just
type
packtoberfest
with
the
description
and
that's
the
tag,
and
you
can
use
that
for
different
issues.
C
C
C
So
I
just
want
everyone
to
know
that,
because
october
starts
at
the
end
of
the
week
so
getting
into
the
swing
of
that
would
be
good.
If
we
want
to
do
something
for
that,
and
then
it
goes
throughout
october
and
next
week,
we'll
maybe
talk
a
little
bit
more
about
how
to
organize.
For
that
I
know
yeah,
it's
people
are
busy,
and
but
it's
just,
I
think
it's
a
nice
way
to
see
what
we
can
do
during
the
month
to
get
people
involved.
C
C
So
if
you
have
an
abstract
you
want
to
present
in
aeromatch,
you
can
submit
the
abstract
it's
about
two
to
three
hundred
words.
I
know
jesse
and
krishna
are
already
doing
something
for
that,
so
it's
just
a
matter
of
okay
and
then
any
update
on
the
boring
billion.
Yes,
thank
you
for
reminding
me
so
the
boring
billion
paper
is
on.
I
need
to
send
those
to
all
the
notes
that
I
made
on
our
meeting
for
last
week.