diff --git a/notebooks/ptychography_01.ipynb b/notebooks/ptychography_01.ipynb index 12161ae..dbdd757 100644 --- a/notebooks/ptychography_01.ipynb +++ b/notebooks/ptychography_01.ipynb @@ -68,7 +68,7 @@ "where $\\mathcal{P}(\\boldsymbol{r})$ is the incoming probe-illumination, $\\mathcal{O}(\\boldsymbol{r}-\\boldsymbol{R}_j)$ is the complex-valued scattering object we wish to reconstruct, $\\mathcal{F}$ is the Fourier transform operator, and $I_j(\\boldsymbol{k})$ are the far-field diffraction intensities predicted by the model.\n", "\n", "\n", - "In iterative ptychography we start with an initial guess for the illuminating probe (e.g. a perferct Airy probe) and the scattering potential (usually empty), and iteratively update the scattering potential and the illuminating probe to match measured diffraction intensities. Let's try this!" + "In iterative ptychography we start with an initial guess for the illuminating probe (e.g. a perfect Airy probe) and the scattering potential (usually empty), and iteratively update the scattering potential and the illuminating probe to match measured diffraction intensities. Let's try this!" ] }, { @@ -235,7 +235,7 @@ "Before we can reconstruct our dataset, we need to perform some pre-processing steps:\n", "- Estimate the relationship between the real-space and reciprocal-space coordinate systems\n", "- Correct for any residual descan errors, and properly center the diffraction intensities\n", - "- Initialize the illuminate probe and probe positions inside the object field of view\n", + "- Initialize the illuminating probe and probe positions inside the object field of view\n", "\n", "These can all be performed using the `preprocess` method common to all `*Ptychography` classes.\n", "\n", @@ -400,7 +400,7 @@ " - See additional tutorials on the importance of doing this\n", " - A guess for the probe aberrations (notably defocus)\n", " - Here, we know the simulated defocus exactly\n", - " - See additional tutorials on how to estimate this using i) the parallax reconstruction, ii) Bayesian Optimization" + " - See additional tutorials on how to estimate this using i) the parallax reconstruction or ii) Bayesian Optimization" ] }, {