Extended-Depth-of-Field MOKE Microscopy Dataset

This dataset contains the source images, intermediate image stacks, numerical data, calculation workbooks, and plotting scripts that support the manuscript figures and table. Files are grouped by manuscript item.

Reproducing the figures

Use the PNG files for figure-ready rendered images.

Use the corresponding TIFF files when the underlying image, reconstruction result, mask, heightmap, sharpness map, or image stack is required.

Run the supplied Python scripts to regenerate the plotting panels for Figures 2, 6, and 7 from their accompanying text data.

Each figure or table folder includes a local README with a panel-level file map, page order for image stacks, and figure-specific notes.

Dataset contents

Figure 1: tilted-sample imaging setup

Folder: Figure01/

Contains the demonstration and camera-view images used to illustrate the tilted-sample imaging condition.

Figure 2: drift compensation and height matching

Folder: Figure02/

Contains signal and background images, feature and alignment masks, image stacks before and after lateral alignment, candidate-height comparisons, and drift-analysis data.

Fig.02(i-j)/plot_Drift_New.py regenerates the height-offset and drift-coordinate plots from Height.dat and Drift.dat.

Figure 3: heightmap-guided stitching

Folder: Figure03/

Contains the subtracted and sharpness stacks, direct and fitted heightmaps, edge mask, and the direct and final stitched domain images.

The synthetic heightmap data for panels (f-i) are included separately from the magnetic-domain images.

Figure 4: PSF-based reconstruction

Folder: Figure04/

Contains the raw and resampled image stacks, Richards-Wolf and Gaussian PSF kernels, and the reconstruction outputs for centred and vacancy selections.

Table 1: reconstruction-method comparison

Folder: Table01/

Contains the domain-image and sharpness-map outputs for each reconstruction method, together with masks, reference data, and the comparison workbook.

Figure 5: reconstruction-performance analysis

Folder: Figure05/

Contains reconstruction stacks, quantitative signal-to-noise and sharpness data, masks, reference regions, and the calculation workbook.

Figure 6: tilt-dependent domain reconstruction

Folder: Figure06/

Contains reconstructed and binarized domain images, normalized FFT maps, directional profiles, fitted curves, and frequency summaries for sample tilts from 0° to 20°.

Fig.06(d-e)/plot_Fit_New.py regenerates the directional FFT-profile plots; Fig.06(f-g)/Plot_final_New.py regenerates the frequency-summary plots.

Figure 7: hysteresis and Kerr-response measurements

Folder: Figure07/

Contains the CoFeB hysteresis data under top, bottom, and all-LED illumination, plus summary data for switching amplitude and normalized Kerr response.

plot_Hysteresis.py regenerates the hysteresis plots, and plot_Amplitude_Response.py regenerates the two summary plots.

Figure 8: in-plane domain reconstruction and sharpness

Folder: Figure08/

Contains directly imaged and reconstructed domain images, their sharpness maps, measurement masks, reference data, and the calculation workbook.

File formats

*.png: figure-ready rendered panels, plots, masks, or color-map keys.

*.tif: source, intermediate, or reconstructed image data. A TIFF may be a single image or a multi-page stack.

.dat and .txt: numerical data used for plotting, fitting, or quantitative analysis.

*.xlsx: calculation workbooks and summaries.

*.py: plotting scripts and their associated input data are stored in the same figure folder.

Multi-page TIFF stacks

Figure 2 contains five-frame background, pre-alignment, post-alignment, and candidate-height stacks.

Figure 3 contains three-frame subtracted-image and sharpness stacks.

Figure 4 contains the 235-frame raw and resampled image stacks and both 235-frame PSF-kernel stacks.

Figure 5 contains reconstruction-performance stacks, generally with 11 frames; Center_Ref.tif has two frames.

Figure 6 contains the five-frame normalized FFT stack, ordered by increasing tilt angle.

The Figure 5 and Table 1 mask TIFFs each contain three mask pages.

Refer to the local README in each folder for the exact stack page order and panel-to-file correspondence.

The Python code included in this dataset is licensed under the MIT License.