class Bacilli(Cell):
"""The Bacilli class represents a bacilli bacterium."""
_REQUIRED_CONFIG = [
'bacilli.maxSpeed', 'bacilli.maxSpin', 'bacilli.minGrowth',
'bacilli.maxGrowth', 'bacilli.minWidth', 'bacilli.maxWidth',
'bacilli.minLength', 'bacilli.maxLength'
]
def __init__(self, name, x, y, width, length, rotation):
super().__init__(name)
self._position = Vector([x, y, 0])
self._width = width
self._length = length
self._rotation = rotation
self._needs_refresh = True
# diffraction constant, controlling how much does the pattern spread
self._sigma = 3.0
# diffraction value, controlling how bright the diffraction pattern is
self._diff_v = 0.5
def _refresh(self):
# get the positions of the centers of the head and tail circles
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
distance = (self._length - self._width) / 2
displacement = distance * direction
self._head_center = self._position + displacement
self._tail_center = self._position - displacement
# get the positions of the corners of the bacilli box
side = Vector([-sin(self._rotation), cos(self._rotation), 0])
radius = self._width / 2
self._head_right = self._head_center + radius * side
self._head_left = self._head_center - radius * side
self._tail_right = self._tail_center + radius * side
self._tail_left = self._tail_center - radius * side
# compute the region of interest
self._region = Rectangle(
floor(min(self._head_center.x, self._tail_center.x) - radius),
floor(min(self._head_center.y, self._tail_center.y) - radius),
ceil(max(self._head_center.x, self._tail_center.x) + radius) + 1,
ceil(max(self._head_center.y, self._tail_center.y) + radius) + 1)
self._needs_refresh = False
def draw(self, image, is_cell, greySyntheticImage, phaseContractImage):
"""Draws the cell by adding the given value to the image."""
if self._needs_refresh:
self._refresh()
# binary images (not grey scale) don't have diffraction pattern
# currently also no diffraction pattern for PCImg
if (not greySyntheticImage) or phaseContractImage:
self._sigma = 0
self._diff_v = 0
# calculate the expansion of the region based on how much does diffraction pattern spread
# if self._sigma = 0, then expansion = 0
# if self._diff_v = 0, then expansion = 0
# if phaseContractImage is True, then expansion = 0
expansion = int(self._sigma * 2) if self._diff_v != 0 else 0
# expand the square enclosing the cell
top = self._region.top - expansion
bottom = self._region.bottom + expansion
left = self._region.left - expansion
right = self._region.right + expansion
width = right - left
height = bottom - top
mask = np.zeros((height, width), dtype=np.bool)
# use an extra mask for diffraction pattern
diff_mask = np.zeros((height, width), dtype=np.float)
# body_mask is expanded
body_mask = polygon(
r=(self._head_left.y - top, self._head_right.y - top,
self._tail_right.y - top, self._tail_left.y - top),
c=(self._head_left.x - left, self._head_right.x - left,
self._tail_right.x - left, self._tail_left.x - left),
shape=mask.shape)
# body_mask_up is for phaseContractImage so no change for now
body_mask_up = polygon(
r=(self._head_left.y - self._region.top,
ceil((self._head_right.y + self._head_left.y) / 2) -
self._region.top,
ceil((self._tail_right.y + self._tail_left.y) / 2) -
self._region.top, self._tail_left.y - self._region.top),
c=(self._head_left.x - self._region.left,
ceil((self._head_right.x + self._head_left.x) / 2) -
self._region.left,
ceil((self._tail_right.x + self._tail_left.x) / 2) -
self._region.left, self._tail_left.x - self._region.left),
shape=mask.shape)
# body_mask_middle is for phaseContractImage so no change for now
body_mask_middle = polygon(
r=(ceil((self._head_right.y + self._head_left.y * 2) / 3) -
self._region.top,
ceil((self._head_right.y * 2 + self._head_left.y) / 3) -
self._region.top,
ceil((self._tail_right.y * 2 + self._tail_left.y) / 3) -
self._region.top,
ceil((self._tail_right.y + self._tail_left.y * 2) / 3) -
self._region.top),
c=(ceil((self._head_right.x + self._head_left.x * 2) / 3) -
self._region.left,
ceil((self._head_right.x * 2 + self._head_left.x) / 3) -
self._region.left,
ceil((self._tail_right.x * 2 + self._tail_left.x) / 3) -
self._region.left,
ceil((self._tail_right.x + self._tail_left.x * 2) / 3) -
self._region.left),
shape=mask.shape)
# head_mask is expanded
head_mask = circle(x=self._head_center.x - left,
y=self._head_center.y - top,
radius=self._width / 2,
shape=mask.shape)
# tail_mask is expanded
tail_mask = circle(x=self._tail_center.x - left,
y=self._tail_center.y - top,
radius=self._width / 2,
shape=mask.shape)
if greySyntheticImage:
# phaseContractImage == True part remains unchanged
if phaseContractImage:
if not is_cell:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.39 # 0.39*255=100
else:
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.25 # 0.25*255=65
mask = np.zeros((height, width), dtype=np.bool)
mask[head_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[tail_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_up] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.63 # 0.63*255=160
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_middle] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.39 # 0.39*255=100
if not phaseContractImage:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
if is_cell:
if (self._diff_v != 0) and (self._sigma != 0):
diff_mask[body_mask] = self._diff_v
diff_mask[head_mask] = self._diff_v
diff_mask[tail_mask] = self._diff_v
# blur the white cell
diff_mask = gaussian(diff_mask, self._sigma)
# add diffraction pattern to the image
image[top:bottom, left:right] += diff_mask
# overlap the cell part with the black cell
image[top:bottom,
left:right][mask] = 0.15 #0.39 - 0.24 = 0.15
else:
if (self._diff_v != 0) and (self._sigma != 0):
diff_mask[body_mask] = self._diff_v
diff_mask[head_mask] = self._diff_v
diff_mask[tail_mask] = self._diff_v
# blur the white cell
diff_mask = gaussian(diff_mask, self._sigma)
# subtract diffraction pattern to the image
image[top:bottom, left:right] -= diff_mask
# overlap the cell part with background
image[top:bottom, left:right][mask] = 0.39
else:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
if is_cell:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += 1.0
else:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += -1.0
def drawoutline(self, image, color):
"""Draws the outline of the cell over a color image."""
if self._needs_refresh:
self._refresh()
draw_line(image, int(self._tail_left.x), int(self._tail_left.y),
int(self._head_left.x), int(self._head_left.y), color)
draw_line(image, int(self._tail_right.x), int(self._tail_right.y),
int(self._head_right.x), int(self._head_right.y), color)
r0 = self._head_right - self._head_center
r1 = self._head_left - self._head_center
t1 = atan2(r0.y, r0.x)
t0 = atan2(r1.y, r1.x)
draw_arc(image, self._head_center.x, self._head_center.y,
self._width / 2, t0, t1, color)
r0 = self._tail_right - self._tail_center
r1 = self._tail_left - self._tail_center
t0 = atan2(r0.y, r0.x)
t1 = atan2(r1.y, r1.x)
draw_arc(image, self._tail_center.x, self._tail_center.y,
self._width / 2, t0, t1, color)
def split(self, alpha):
"""Splits a cell into two cells with a ratio determined by alpha."""
if self._needs_refresh:
self._refresh()
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
unit = self._length * direction
front = self._position + unit / 2
back = self._position - unit / 2
center = self._position + (0.5 - alpha) * unit
position1 = (front + center) / 2
position2 = (center + back) / 2
cell1 = Bacilli(self._name + '0', position1.x, position1.y,
self._width, self._length * alpha, self._rotation)
cell2 = Bacilli(self._name + '1',
position2.x, position2.y, self._width,
self._length * (1 - alpha), self._rotation)
return cell1, cell2
def combine(self, cell):
"""Combines this cell with another cell."""
if self._needs_refresh:
self._refresh()
if cell._needs_refresh:
cell._refresh()
separation = self._position - cell._position
direction = separation / sqrt(separation @ separation)
# get combined front
direction1 = Vector([cos(self._rotation), sin(self._rotation), 0])
distance1 = self._length - self._width
if direction1 @ direction >= 0:
head1 = self._position + distance1 * direction1 / 2
else:
head1 = self._position - distance1 * direction1 / 2
extent1 = head1 + self._width * direction / 2
front = self._position + (
(extent1 - self._position) @ direction) * direction
# get combined back
direction2 = Vector([cos(cell._rotation), sin(cell._rotation), 0])
distance2 = cell._length - cell._width
if direction2 @ direction >= 0:
tail2 = cell._position - distance2 * direction2 / 2
else:
tail2 = cell._position + distance2 * direction2 / 2
extent2 = tail2 - cell._width * direction / 2
back = cell._position + (
(extent2 - cell._position) @ direction) * direction
# create new cell
position = (front + back) / 2
rotation = atan2(direction.y, direction.x)
width = (self._width + cell._width) / 2
length = sqrt((front - back) @ (front - back))
return Bacilli(self._name[:-1], position.x, position.y, width, length,
rotation)
def __repr__(self):
return (f'Bacilli('
f'name="{self._name}", '
f'x={self._position.x}, y={self._position.y}, '
f'width={self._width}, length={self._length}, '
f'rotation={self._rotation})')
@property
def region(self):
if self._needs_refresh:
self._refresh()
return self._region
@property
def position(self):
return self._position.copy()
@property
def x(self):
return self._position.x
@x.setter
def x(self, value):
if value != self._position.x:
self._position.x = value
self._needs_refresh = True
@property
def y(self):
return self._position.y
@y.setter
def y(self, value):
if value != self._position.y:
self._position.y = value
self._needs_refresh = True
@property
def width(self):
return self._width
@width.setter
def width(self, value):
if value != self._width:
self._width = value
self._needs_refresh = True
@property
def length(self):
return self._length
@length.setter
def length(self, value):
if value != self._length:
self._length = value
self._needs_refresh = True
@property
def rotation(self):
return self._rotation
@rotation.setter
def rotation(self, value):
if value != self._rotation:
self._rotation = value
self._needs_refresh = True
class Bacilli(Cell):
"""The Bacilli class represents a bacilli bacterium."""
_REQUIRED_CONFIG = [
'bacilli.maxSpeed', 'bacilli.maxSpin', 'bacilli.minGrowth',
'bacilli.maxGrowth', 'bacilli.minWidth', 'bacilli.maxWidth',
'bacilli.minLength', 'bacilli.maxLength'
]
def __init__(self,
name,
x,
y,
width,
length,
rotation,
split_alpha=None,
opacity=0):
#upper left corner is the origin
#x,y are index of the array
#x:column index y:row index
super().__init__(name)
self._position = Vector([x, y, 0])
self._width = width
self._length = length
self._rotation = rotation
self._opacity = opacity
self._split_alpha = split_alpha
self._needs_refresh = True
def _refresh(self):
# get the positions of the centers of the head and tail circles
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
distance = (self._length - self._width) / 2
displacement = distance * direction
self._head_center = self._position + displacement
self._tail_center = self._position - displacement
# get the positions of the corners of the bacilli box
side = Vector([-sin(self._rotation), cos(self._rotation), 0])
radius = self._width / 2
self._head_right = self._head_center + radius * side
self._head_left = self._head_center - radius * side
self._tail_right = self._tail_center + radius * side
self._tail_left = self._tail_center - radius * side
# compute the region of interest
self._region = Rectangle(
floor(min(self._head_center.x, self._tail_center.x) -
radius), #left
floor(min(self._head_center.y, self._tail_center.y) -
radius), #top
ceil(max(self._head_center.x, self._tail_center.x) + radius) +
1, #right
ceil(max(self._head_center.y, self._tail_center.y) + radius) +
1) #bottom
self._needs_refresh = False
def draw(self, image, cellmap, is_cell, simulation_config):
"""Draws the cell by adding the given value to the image."""
if self._needs_refresh:
self._refresh()
#Diffraction pattern currently only applies to graySynthetic image
image_type = simulation_config["image.type"]
background_color = simulation_config["background.color"]
cell_color = simulation_config["cell.color"]
top = self._region.top
bottom = self._region.bottom
left = self._region.left
right = self._region.right
width = right - left
height = bottom - top
mask = np.zeros((height, width), dtype=np.bool)
body_mask = polygon(
r=(self._head_left.y - top, self._head_right.y - top,
self._tail_right.y - top, self._tail_left.y - top),
c=(self._head_left.x - left, self._head_right.x - left,
self._tail_right.x - left, self._tail_left.x - left),
shape=mask.shape)
body_mask_up = polygon(
r=(self._head_left.y - self._region.top,
ceil((self._head_right.y + self._head_left.y) / 2) -
self._region.top,
ceil((self._tail_right.y + self._tail_left.y) / 2) -
self._region.top, self._tail_left.y - self._region.top),
c=(self._head_left.x - self._region.left,
ceil((self._head_right.x + self._head_left.x) / 2) -
self._region.left,
ceil((self._tail_right.x + self._tail_left.x) / 2) -
self._region.left, self._tail_left.x - self._region.left),
shape=mask.shape)
body_mask_middle = polygon(
r=(ceil((self._head_right.y + self._head_left.y * 2) / 3) -
self._region.top,
ceil((self._head_right.y * 2 + self._head_left.y) / 3) -
self._region.top,
ceil((self._tail_right.y * 2 + self._tail_left.y) / 3) -
self._region.top,
ceil((self._tail_right.y + self._tail_left.y * 2) / 3) -
self._region.top),
c=(ceil((self._head_right.x + self._head_left.x * 2) / 3) -
self._region.left,
ceil((self._head_right.x * 2 + self._head_left.x) / 3) -
self._region.left,
ceil((self._tail_right.x * 2 + self._tail_left.x) / 3) -
self._region.left,
ceil((self._tail_right.x + self._tail_left.x * 2) / 3) -
self._region.left),
shape=mask.shape)
head_mask = circle(x=self._head_center.x - left,
y=self._head_center.y - top,
radius=self._width / 2,
shape=mask.shape)
tail_mask = circle(x=self._tail_center.x - left,
y=self._tail_center.y - top,
radius=self._width / 2,
shape=mask.shape)
#phaseContrast unchanged
if image_type == "phaseContrast":
if not is_cell:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.39 # 0.39*255=100
else:
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.25 # 0.25*255=65
mask = np.zeros((height, width), dtype=np.bool)
mask[head_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[tail_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_up] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.63 # 0.63*255=160
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_middle] = True
image[self._region.top:self._region.bottom, self._region.
left:self._region.right][mask] = 0.39 # 0.39*255=100
elif image_type == "graySynthetic":
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
gaussian_filter_truncate = simulation_config[
"light.diffraction.truncate"]
gaussian_filter_sigma = simulation_config[
"light.diffraction.sigma"]
diffraction_strength = simulation_config[
"light.diffraction.strength"]
cell_opacity = self._opacity if self._opacity != "auto" and self._opacity != "None" else simulation_config[
"cell.opacity"]
#in order to use optimze funtion
gaussian_filter_sigma = max(gaussian_filter_sigma, 0)
extension = ceil(gaussian_filter_truncate * gaussian_filter_sigma -
0.5)
diff_top = top - (2 * extension)
diff_left = left - (2 * extension)
diff_bottom = bottom + (2 * extension)
diff_right = right + (2 * extension)
rendering_top = top - extension
rendering_left = left - extension
rendering_bottom = bottom + extension
rendering_right = right + extension
re_diff_top, re_diff_left, re_rendering_top, re_rendering_left = [
max(i, 0)
for i in [diff_top, diff_left, rendering_top, rendering_left]
]
re_diff_bottom, re_rendering_bottom = [
min(i, image.shape[0])
for i in [diff_bottom, rendering_bottom]
]
re_diff_right, re_rendering_right = [
min(i, image.shape[1]) for i in [diff_right, rendering_right]
]
if is_cell:
cellmap[top:bottom, left:right][mask] += 1
cellmap_diff = cellmap[re_diff_top:re_diff_bottom,
re_diff_left:re_diff_right]
diffraction_mask = np.zeros(cellmap_diff.shape, dtype=float)
diffraction_mask[cellmap_diff > 0] = diffraction_strength
diffraction_mask = gaussian_filter(
diffraction_mask,
gaussian_filter_sigma,
truncate=gaussian_filter_truncate)
diffraction_mask[cellmap_diff == 0] += background_color
diffraction_mask[
cellmap_diff >
0] = cell_color + cell_opacity * diffraction_mask[
cellmap_diff > 0]
#print("diffraction mask shape: ", diffraction_mask.shape)
image[re_rendering_top:re_rendering_bottom,
re_rendering_left:re_rendering_right] = diffraction_mask[
re_rendering_top - re_diff_top:re_rendering_bottom -
re_diff_bottom if re_rendering_bottom -
re_diff_bottom != 0 else None,
re_rendering_left - re_diff_left:re_rendering_right -
re_diff_right if re_rendering_right -
re_diff_right != 0 else None]
else:
cellmap[top:bottom, left:right][mask] -= 1
cellmap_diff = cellmap[re_diff_top:re_diff_bottom,
re_diff_left:re_diff_right]
diffraction_mask = np.zeros(cellmap_diff.shape, dtype=float)
diffraction_mask[cellmap_diff > 0] = diffraction_strength
diffraction_mask = gaussian_filter(
diffraction_mask,
gaussian_filter_sigma,
truncate=gaussian_filter_truncate)
diffraction_mask[cellmap_diff == 0] += background_color
diffraction_mask[
cellmap_diff >
0] = cell_color + cell_opacity * diffraction_mask[
cellmap_diff > 0]
#print("diffraction mask shape: ", diffraction_mask.shape)
image[re_rendering_top:re_rendering_bottom,
re_rendering_left:re_rendering_right] = diffraction_mask[
re_rendering_top - re_diff_top:re_rendering_bottom -
re_diff_bottom if re_rendering_bottom -
re_diff_bottom != 0 else None,
re_rendering_left - re_diff_left:re_rendering_right -
re_diff_right if re_rendering_right -
re_diff_right != 0 else None]
elif image_type == "binary":
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
if is_cell:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += 1.0
cellmap[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += 1
else:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] -= 1.0
cellmap[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] -= 1
def drawoutline(self, image, color):
"""Draws the outline of the cell over a color image."""
if self._needs_refresh:
self._refresh()
draw_line(image, int(self._tail_left.x), int(self._tail_left.y),
int(self._head_left.x), int(self._head_left.y), color)
draw_line(image, int(self._tail_right.x), int(self._tail_right.y),
int(self._head_right.x), int(self._head_right.y), color)
r0 = self._head_right - self._head_center
r1 = self._head_left - self._head_center
t1 = atan2(r0.y, r0.x)
t0 = atan2(r1.y, r1.x)
draw_arc(image, self._head_center.x, self._head_center.y,
self._width / 2, t0, t1, color)
r0 = self._tail_right - self._tail_center
r1 = self._tail_left - self._tail_center
t0 = atan2(r0.y, r0.x)
t1 = atan2(r1.y, r1.x)
draw_arc(image, self._tail_center.x, self._tail_center.y,
self._width / 2, t0, t1, color)
def split(self, alpha):
"""Splits a cell into two cells with a ratio determined by alpha."""
if self._needs_refresh:
self._refresh()
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
unit = self._length * direction
front = self._position + unit / 2
back = self._position - unit / 2
center = self._position + (0.5 - float(alpha)) * unit
position1 = (front + center) / 2
position2 = (center + back) / 2
cell1 = Bacilli(self._name + '0',
position1.x, position1.y, self._width,
self._length * float(alpha), self._rotation, alpha,
self._opacity)
cell2 = Bacilli(self._name + '1', position2.x,
position2.y, self._width,
self._length * (1 - float(alpha)), self._rotation,
alpha, self._opacity)
return cell1, cell2
def combine(self, cell):
"""Combines this cell with another cell."""
if self._needs_refresh:
self._refresh()
if cell._needs_refresh:
cell._refresh()
separation = self._position - cell._position
direction = separation / sqrt(separation @ separation)
# get combined front
direction1 = Vector([cos(self._rotation), sin(self._rotation), 0])
distance1 = self._length - self._width
if direction1 @ direction >= 0:
head1 = self._position + distance1 * direction1 / 2
else:
head1 = self._position - distance1 * direction1 / 2
extent1 = head1 + self._width * direction / 2
front = self._position + (
(extent1 - self._position) @ direction) * direction
# get combined back
direction2 = Vector([cos(cell._rotation), sin(cell._rotation), 0])
distance2 = cell._length - cell._width
if direction2 @ direction >= 0:
tail2 = cell._position - distance2 * direction2 / 2
else:
tail2 = cell._position + distance2 * direction2 / 2
extent2 = tail2 - cell._width * direction / 2
back = cell._position + (
(extent2 - cell._position) @ direction) * direction
# create new cell
position = (front + back) / 2
rotation = atan2(direction.y, direction.x)
width = (self._width + cell._width) / 2
length = sqrt((front - back) @ (front - back))
return Bacilli(self._name[:-1], position.x, position.y, width, length,
rotation, "combined alpha unknown",
(self._opacity + cell.opacity) / 2)
def __repr__(self):
return (f'Bacilli('
f'name="{self._name}", '
f'x={self._position.x}, y={self._position.y}, '
f'width={self._width}, length={self._length}, '
f'rotation={self._rotation})')
def simulated_region(self, simulation_config):
if self._needs_refresh:
self._refresh()
if simulation_config["image.type"] == "binary":
return self._region
elif simulation_config["image.type"] == "graySynthetic":
gaussian_filter_truncate = simulation_config[
"light.diffraction.truncate"]
gaussian_filter_sigma = simulation_config[
"light.diffraction.sigma"]
diffraction_strength = simulation_config[
"light.diffraction.strength"]
extension = max(
floor(gaussian_filter_truncate * gaussian_filter_sigma - 0.5),
0)
diff_top = self._region.top - extension
diff_left = self._region.left - extension
diff_bottom = self._region.bottom + extension
diff_right = self._region.right + extension
region = Rectangle(diff_left, diff_top, diff_right, diff_bottom)
return region
else:
raise ValueError("Cell:simulated_region: unsupported image type")
@property
def region(self):
if self._needs_refresh:
self._refresh()
return self._region
@property
def position(self):
return self._position.copy()
@property
def x(self):
return self._position.x
@x.setter
def x(self, value):
if value != self._position.x:
self._position.x = value
self._needs_refresh = True
@property
def y(self):
return self._position.y
@y.setter
def y(self, value):
if value != self._position.y:
self._position.y = value
self._needs_refresh = True
@property
def width(self):
return self._width
@width.setter
def width(self, value):
if value != self._width:
self._width = value
self._needs_refresh = True
@property
def length(self):
return self._length
@length.setter
def length(self, value):
if value != self._length:
self._length = value
self._needs_refresh = True
@property
def rotation(self):
return self._rotation
@property
def split_alpha(self):
return self._split_alpha
@split_alpha.setter
def split_alpha(self, value):
self._split_alpha = value
@property
def opacity(self):
return self._opacity
@opacity.setter
def opacity(self, value):
self._opacity = value
@rotation.setter
def rotation(self, value):
if value != self._rotation:
self._rotation = value
self._needs_refresh = True
class Bacilli(Cell):
"""The Bacilli class represents a bacilli bacterium."""
_REQUIRED_CONFIG = [
'bacilli.maxSpeed',
'bacilli.maxSpin',
'bacilli.minGrowth',
'bacilli.maxGrowth',
'bacilli.minWidth',
'bacilli.maxWidth',
'bacilli.minLength',
'bacilli.maxLength'
]
def __init__(self, name, x, y, width, length, rotation):
super().__init__(name)
self._position = Vector([x, y, 0])
self._width = width
self._length = length
self._rotation = rotation
self._needs_refresh = True
def _refresh(self):
# get the positions of the centers of the head and tail circles
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
distance = (self._length - self._width)/2
displacement = distance*direction
self._head_center = self._position + displacement
self._tail_center = self._position - displacement
# get the positions of the corners of the bacilli box
side = Vector([-sin(self._rotation), cos(self._rotation), 0])
radius = self._width/2
self._head_right = self._head_center + radius*side
self._head_left = self._head_center - radius*side
self._tail_right = self._tail_center + radius*side
self._tail_left = self._tail_center - radius*side
# compute the region of interest
self._region = Rectangle(
floor(min(self._head_center.x, self._tail_center.x) - radius),
floor(min(self._head_center.y, self._tail_center.y) - radius),
ceil(max(self._head_center.x, self._tail_center.x) + radius) + 1,
ceil(max(self._head_center.y, self._tail_center.y) + radius) + 1)
self._needs_refresh = False
def draw(self, image, is_cell, greySyntheticImage, phaseContractImage):
"""Draws the cell by adding the given value to the image."""
if self._needs_refresh:
self._refresh()
width = self._region.right - self._region.left
height = self._region.bottom - self._region.top
mask = np.zeros((height, width), dtype=np.bool)
body_mask = polygon(
r=(self._head_left.y - self._region.top,
self._head_right.y - self._region.top,
self._tail_right.y - self._region.top,
self._tail_left.y - self._region.top),
c=(self._head_left.x - self._region.left,
self._head_right.x - self._region.left,
self._tail_right.x - self._region.left,
self._tail_left.x - self._region.left),
shape=mask.shape)
body_mask_up = polygon(
r=(self._head_left.y - self._region.top,
ceil((self._head_right.y + self._head_left.y) / 2) - self._region.top,
ceil((self._tail_right.y + self._tail_left.y) / 2) - self._region.top,
self._tail_left.y - self._region.top),
c=(self._head_left.x - self._region.left,
ceil((self._head_right.x + self._head_left.x) / 2) - self._region.left,
ceil((self._tail_right.x + self._tail_left.x) / 2) - self._region.left,
self._tail_left.x - self._region.left),
shape=mask.shape)
body_mask_middle = polygon(
r=(ceil((self._head_right.y + self._head_left.y * 2) / 3) - self._region.top,
ceil((self._head_right.y * 2 + self._head_left.y) / 3) - self._region.top,
ceil((self._tail_right.y * 2 + self._tail_left.y) / 3) - self._region.top,
ceil((self._tail_right.y + self._tail_left.y * 2) / 3) - self._region.top),
c=(ceil((self._head_right.x + self._head_left.x * 2) / 3) - self._region.left,
ceil((self._head_right.x * 2 + self._head_left.x) / 3) - self._region.left,
ceil((self._tail_right.x * 2 + self._tail_left.x) / 3) - self._region.left,
ceil((self._tail_right.x + self._tail_left.x * 2) / 3) - self._region.left),
shape=mask.shape)
head_mask = circle(
x=self._head_center.x - self._region.left,
y=self._head_center.y - self._region.top,
radius=self._width / 2,
shape=mask.shape)
tail_mask = circle(
x=self._tail_center.x - self._region.left,
y=self._tail_center.y - self._region.top,
radius=self._width / 2,
shape=mask.shape)
if greySyntheticImage:
if phaseContractImage:
if not is_cell:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.39 # 0.39*255=100
else:
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25 # 0.25*255=65
mask = np.zeros((height, width), dtype=np.bool)
mask[head_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[tail_mask] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.25
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_up] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.63 # 0.63*255=160
mask = np.zeros((height, width), dtype=np.bool)
mask[body_mask_middle] = True
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] = 0.39 # 0.39*255=100
if not phaseContractImage:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
if is_cell:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += -0.24
else:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += 0.24
else:
mask[body_mask] = True
mask[head_mask] = True
mask[tail_mask] = True
if is_cell:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += 1.0
else:
image[self._region.top:self._region.bottom,
self._region.left:self._region.right][mask] += -1.0
def drawoutline(self, image, color):
"""Draws the outline of the cell over a color image."""
if self._needs_refresh:
self._refresh()
draw_line(image, int(self._tail_left.x), int(self._tail_left.y),
int(self._head_left.x), int(self._head_left.y), color)
draw_line(image, int(self._tail_right.x), int(self._tail_right.y),
int(self._head_right.x), int(self._head_right.y), color)
r0 = self._head_right - self._head_center
r1 = self._head_left - self._head_center
t1 = atan2(r0.y, r0.x)
t0 = atan2(r1.y, r1.x)
draw_arc(image, self._head_center.x, self._head_center.y,
self._width/2, t0, t1, color)
r0 = self._tail_right - self._tail_center
r1 = self._tail_left - self._tail_center
t0 = atan2(r0.y, r0.x)
t1 = atan2(r1.y, r1.x)
draw_arc(image, self._tail_center.x, self._tail_center.y,
self._width/2, t0, t1, color)
def split(self, alpha):
"""Splits a cell into two cells with a ratio determined by alpha."""
if self._needs_refresh:
self._refresh()
direction = Vector([cos(self._rotation), sin(self._rotation), 0])
unit = self._length*direction
front = self._position + unit/2
back = self._position - unit/2
center = self._position + (0.5 - alpha)*unit
position1 = (front + center)/2
position2 = (center + back)/2
cell1 = Bacilli(
self._name + '0',
position1.x, position1.y,
self._width, self._length*alpha,
self._rotation)
cell2 = Bacilli(
self._name + '1',
position2.x, position2.y,
self._width, self._length*(1 - alpha),
self._rotation)
return cell1, cell2
def combine(self, cell):
"""Combines this cell with another cell."""
if self._needs_refresh:
self._refresh()
if cell._needs_refresh:
cell._refresh()
separation = self._position - cell._position
direction = separation/sqrt(separation@separation)
# get combined front
direction1 = Vector([cos(self._rotation), sin(self._rotation), 0])
distance1 = self._length - self._width
if direction1@direction >= 0:
head1 = self._position + distance1*direction1/2
else:
head1 = self._position - distance1*direction1/2
extent1 = head1 + self._width*direction/2
front = self._position + ((extent1 - self._position)@direction)*direction
# get combined back
direction2 = Vector([cos(cell._rotation), sin(cell._rotation), 0])
distance2 = cell._length - cell._width
if direction2@direction >= 0:
tail2 = cell._position - distance2*direction2/2
else:
tail2 = cell._position + distance2*direction2/2
extent2 = tail2 - cell._width*direction/2
back = cell._position + ((extent2 - cell._position)@direction)*direction
# create new cell
position = (front + back)/2
rotation = atan2(direction.y, direction.x)
width = (self._width + cell._width)/2
length = sqrt((front - back)@(front - back))
return Bacilli(
self._name[:-1],
position.x, position.y,
width, length,
rotation)
def __repr__(self):
return (f'Bacilli('
f'name="{self._name}", '
f'x={self._position.x}, y={self._position.y}, '
f'width={self._width}, length={self._length}, '
f'rotation={self._rotation})')
@property
def region(self):
if self._needs_refresh:
self._refresh()
return self._region
@property
def position(self):
return self._position.copy()
@property
def x(self):
return self._position.x
@x.setter
def x(self, value):
if value != self._position.x:
self._position.x = value
self._needs_refresh = True
@property
def y(self):
return self._position.y
@y.setter
def y(self, value):
if value != self._position.y:
self._position.y = value
self._needs_refresh = True
@property
def width(self):
return self._width
@width.setter
def width(self, value):
if value != self._width:
self._width = value
self._needs_refresh = True
@property
def length(self):
return self._length
@length.setter
def length(self, value):
if value != self._length:
self._length = value
self._needs_refresh = True
@property
def rotation(self):
return self._rotation
@rotation.setter
def rotation(self, value):
if value != self._rotation:
self._rotation = value
self._needs_refresh = True