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21 changes: 13 additions & 8 deletions docs/examples/models/phase_thick_3d.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,17 +11,22 @@
# Parameters
# all lengths must use consistent units e.g. um
simulation_arguments = {
"zyx_shape": (100, 256, 256),
"yx_pixel_size": 6.5 / 63,
"z_pixel_size": 0.25,
"index_of_refraction_media": 1.3,
"zyx_shape": (256, 256, 256),
"yx_pixel_size": 6.5 / 100,
"z_pixel_size": 0.1,
"index_of_refraction_media": 1.4,
}
phantom_arguments = {"index_of_refraction_sample": 1.50, "sphere_radius": 5}
phantom_arguments = {"index_of_refraction_sample": 1.50, "sphere_radius": 0.5}
transfer_function_arguments = {
"z_padding": 0,
"wavelength_illumination": 0.532,
"numerical_aperture_illumination": 0.9,
"numerical_aperture_detection": 1.2,
"wavelength_illumination": 0.47,
"numerical_aperture_illumination": 0.52,
"numerical_aperture_detection": 1.35,
"tilt_angle_degrees": 30,
"index_of_refraction_o2": 1.0,
"numerical_aperture_o2": 0.95,
"index_of_refraction_o3": 1.5,
"numerical_aperture_o3": 1.0,
}

# Create a phantom
Expand Down
54 changes: 47 additions & 7 deletions waveorder/models/phase_thick_3d.py
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,11 @@ def calculate_transfer_function(
numerical_aperture_illumination: float,
numerical_aperture_detection: float,
invert_phase_contrast: bool = False,
tilt_angle_degrees: float = 0.0,
index_of_refraction_o2: float = 1.0,
numerical_aperture_o2: float = 1.0,
index_of_refraction_o3: float = 1.0,
numerical_aperture_o3: float = 1.0,
) -> tuple[np.ndarray, np.ndarray]:
transverse_nyquist = sampling.transverse_nyquist(
wavelength_illumination,
Expand Down Expand Up @@ -75,6 +80,11 @@ def calculate_transfer_function(
numerical_aperture_illumination,
numerical_aperture_detection,
invert_phase_contrast=invert_phase_contrast,
tilt_angle_degrees=tilt_angle_degrees,
index_of_refraction_o2=index_of_refraction_o2,
numerical_aperture_o2=numerical_aperture_o2,
index_of_refraction_o3=index_of_refraction_o3,
numerical_aperture_o3=numerical_aperture_o3,
)

zyx_out_shape = (zyx_shape[0] + 2 * z_padding,) + zyx_shape[1:]
Expand All @@ -98,10 +108,17 @@ def _calculate_wrap_unsafe_transfer_function(
numerical_aperture_illumination: float,
numerical_aperture_detection: float,
invert_phase_contrast: bool = False,
tilt_angle_degrees: float = 0.0,
index_of_refraction_o2: float = 1.0,
numerical_aperture_o2: float = 1.0,
index_of_refraction_o3: float = 1.0,
numerical_aperture_o3: float = 1.0,
) -> tuple[np.ndarray, np.ndarray]:
radial_frequencies = util.generate_radial_frequencies(
zyx_shape[1:], yx_pixel_size
)
fyy, fxx = util.generate_frequencies(zyx_shape[1:], yx_pixel_size)

z_total = zyx_shape[0] + 2 * z_padding
z_position_list = torch.fft.ifftshift(
(torch.arange(z_total) - z_total // 2) * z_pixel_size
Expand All @@ -114,25 +131,48 @@ def _calculate_wrap_unsafe_transfer_function(
numerical_aperture_illumination,
wavelength_illumination,
)
det_pupil = optics.generate_pupil(
# det_pupil = optics.generate_pupil(
# radial_frequencies,
# numerical_aperture_detection,
# wavelength_illumination,
# )

det_pupil = optics.generate_tilted_pupil(
fxx, fyy,
wavelength_illumination,
tilt_angle_degrees=tilt_angle_degrees,
n1=index_of_refraction_media,
n2=index_of_refraction_o2,
n3=index_of_refraction_o3,
na_o1=numerical_aperture_illumination,
na_o2=numerical_aperture_o2,
na_o3=numerical_aperture_o3,
)

effective_n = (
index_of_refraction_media
* index_of_refraction_o3
/ index_of_refraction_o2
)
outer_detection_pupil = optics.generate_pupil(
radial_frequencies,
numerical_aperture_detection,
0.99 * effective_n,
wavelength_illumination,
)

propagation_kernel = optics.generate_propagation_kernel(
radial_frequencies,
det_pupil,
wavelength_illumination / index_of_refraction_media,
outer_detection_pupil,
wavelength_illumination / effective_n,
z_position_list,
)
greens_function_z = optics.generate_greens_function_z(
radial_frequencies,
det_pupil,
wavelength_illumination / index_of_refraction_media,
outer_detection_pupil,
wavelength_illumination / effective_n,
z_position_list,
axially_even=False,
)

(
real_potential_transfer_function,
imag_potential_transfer_function,
Expand Down
65 changes: 64 additions & 1 deletion waveorder/optics.py
Original file line number Diff line number Diff line change
Expand Up @@ -144,10 +144,55 @@ def generate_pupil(frr, NA, lamb_in):

Pupil = torch.zeros(frr.shape)
Pupil[frr < NA / lamb_in] = 1

return Pupil


def generate_tilted_pupil(
fxx,
fyy,
wavelength_illumination,
tilt_angle_degrees=0,
n1=1.0,
n2=1.0,
n3=1.0,
na_o1=1.0,
na_o2=1.0,
na_o3=1.0,
):
tilt_angle_rad = np.deg2rad(tilt_angle_degrees)
frr = torch.sqrt(fxx**2 + fyy**2)
tt = torch.arcsin(frr * wavelength_illumination / (n1 * n3 / n2))
pp = torch.arctan2(fyy, fxx)

st = np.sin(tilt_angle_rad)
ct = np.cos(tilt_angle_rad)
theta_in = torch.arccos(
st * torch.sin(tt) * torch.cos(pp) + ct * torch.cos(tt)
)
theta_out = torch.arcsin(n2 / n3 * torch.sin(theta_in))

pupil = torch.zeros_like(theta_out)
tt2 = torch.arcsin(frr * wavelength_illumination / (n1 * n3 / n2))
# pupil = fxx

pupil[theta_out < np.arcsin(na_o1 / n2)] = 1

# Minimally working?!
#pupil *= fxx
#pupil[pupil < 0] = 0

pupil = torch.nan_to_num(pupil, nan=0.0)

tt2 = torch.arcsin(frr * wavelength_illumination / (n1 * n3 / n2))
#pupil *= (n3 / n2) * np.cos(tt2) / np.sqrt(1 - (((n3 / n2) * np.sin(tt2)) ** 2))
pupil *= np.cos(tt2) / np.sqrt(1 - 1.3*np.sin(tt2) ** 2)
pupil = torch.nan_to_num(pupil, nan=0.0)


return pupil


def gen_sector_Pupil(fxx, fyy, NA, lamb_in, sector_angle, rotation_angle):
"""

Expand Down Expand Up @@ -944,6 +989,24 @@ def compute_weak_object_transfer_function_3D(
detection_pupil[None, :, :] * greens_function_z, dim=(1, 2)
)

import napari

v = napari.Viewer()
v.add_image(
np.fft.fftshift(np.array(detection_pupil)), name="detection_pupil"
)
v.add_image(
np.fft.fftshift(np.array(torch.real(greens_function_z))),
name="greens_function_z",
)
v.add_image(
np.fft.fftshift(torch.real(detection_pupil[None] * greens_function_z)),
name="PG",
)
import pdb

pdb.set_trace()

H1 = torch.fft.ifft2(torch.conj(SPHz_hat) * PG_hat, dim=(1, 2))
H1 = H1 * window[:, None, None]
H1 = torch.fft.fft(H1, dim=0)
Expand Down
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