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Scale blur in simulator based on objective

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This commit is contained in:
Joe Knapper 2026-04-09 16:16:59 +01:00
parent 483c94b3a9
commit 271c45b873
1 changed files with 5 additions and 3 deletions
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8
src/openflexure_microscope_server/things/camera/simulation.py
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@ -383,9 +383,11 @@ class SimulatedCamera(BaseCamera):
# Use npx to make each 1d index list 3D # Use npx to make each 1d index list 3D
focused_np_img = canvas[np.ix_(x_indices, y_indices, z_indices)] focused_np_img = canvas[np.ix_(x_indices, y_indices, z_indices)]
np_img = fast_resize_and_blur(
focused_np_img, sigma=np.abs(im_pos[2]) / 5, shape=self.shape # Scale blurring based on objective
) sigma = np.abs(im_pos[2]) * (self.objective / 20) ** 2 / 5
np_img = fast_resize_and_blur(focused_np_img, sigma=sigma, shape=self.shape)
# Generate random noise by repeating 500 noise points, as the speed rather # Generate random noise by repeating 500 noise points, as the speed rather
# than randomness is important for simulation. # than randomness is important for simulation.
noise = RNG.normal(scale=self.noise_level, size=500).astype("int16") noise = RNG.normal(scale=self.noise_level, size=500).astype("int16")