Joint Analysis of X-ray Ptychography and X-ray Fluorescence Reconstruction

This project was completed by Mingke Tian and Eric Zou under the mentorship of Yuanzhe Xi as part of the 2025 Emory REU program.

Reconstruction results
Figure 1: Reconstruction results from joint ptychography and fluorescence framework. Source: Adapted from D. J. Vine et al., Simultaneous X-ray fluorescence and ptychographic microscopy of Cyclotella meneghiniana, 2012.

Ptychographic Reconstruction Part

In the traditional way, we use separate methods for ptychographic and fluorescence reconstruction. We consider a ptychography experiment where the observed data $d_i$ is modeled as:

$$ d_i = \vert\mathcal{F}(\mathbf{P}_i \mathbf{z})\vert^2 + \epsilon_i $$

where:

  • $\mathcal{F}$: 2D discrete Fourier transform operator
  • $\mathbf{P}_i$: Probe matrix
  • $z_i$: the object itself which can be written as $z = x + y_i$

Reconstruction Problem

The reconstruction loss function is formulated as the following:

$$ \min_{\mathbf{P},\mathbf{z}} \Phi(\mathbf{P},\mathbf{z}) = \frac{1}{2} \sum_{j=1}^{N} \Vert \vert \mathcal{F}(\mathbf{P}_j \mathbf{z})\vert - \sqrt{d_j} \Vert_2^2 $$

X-ray Fluorescence Reconstruction

X-ray fluorescence reconstruct the real part of the image $x$ using a deconvolution method:

$$ \min_{\mathbf{w},\mathbf{P}} \sum_{e=1}^{N_e} \Vert \vert\mathbf{P}\vert^2 * \mathbf{w}_e - D_e \Vert_2^2 $$

where $\mathbf{w}$ represents elemental concentration maps. $D_e$ corresponds to the experimental flourescence map of element $e$.

Separate Optimization Framework

Separate optimization of ptychographic and fluorescence reconstruction may lead to the results:

$$ \min_{\mathbf{P},\mathbf{z}} \Phi(\mathbf{P},\mathbf{z}) + \min_{\mathbf{w},\mathbf{P}} \sum_{e=1}^{N_e} \Vert \vert\mathbf{P}\vert^2 * \mathbf{w}_e - D_e \Vert_2^2 $$

where $\alpha$ is a scaling parameter balancing between the two objectives.

Joint Optimization Framework

We propose a simultaneous optimization approach:

$$ \min_{\mathbf{w},\mathbf{P},\mathbf{z}} \sum_{e=1}^{N_e} \Vert \vert\mathbf{P}\vert^2 * \mathbf{w}_e - D_e \Vert_2^2 + \alpha \sum_{j=1}^{N} \Vert \vert \mathcal{F}(\mathbf{P}_j (\sum_e \mathbf{w}_e + i \beta))\vert - \sqrt{d_j} \Vert_2^2 $$

By using joint method, the loss function is consistently less than the original loss function from the separate method.

Absorption Coefficient Connection

The absorption coefficient relates to elemental concentrations via:

$$ \mathbf{z} = \delta + i \beta, \quad \delta = \sum_e \mathbf{w}_e \mu_e $$

Conclusion

This joint framework aims to enhance both ptychographic and fluorescence data processing, leveraging their complementarity for improved reconstruction.

Reference

[1] Deng, J., Vine, D.J., Chen, S. et al. X-ray ptychographic and fluorescence microscopy of frozen-hydrated cells using continuous scanning. Sci Rep 7, 445 (2017). https://doi.org/10.1038/s41598-017-00569-y