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Calibrate 4D-STEM iDPC inputs and generate an iDPC-style image from the selected dataset.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Workflow for starting BF preview, waiting for preview stabilization, synchronizing pixel size, confirming ROI, stopping preview, waiting, and acquiring 4D-STEM data.
A compound skill that first acquires data on the SEM and then processes it using the ptychography workflow.
Query recent ptychography slurm IDs and visualize reconstruction results such as object, probe, positions, or loss curve.
Prepare ptychography reconstruction parameters, append experimental parameters, save them, and submit reconstruction to the server.
Workflow for checking current UI parameters, collecting required experiment constraints, calculating 4D-STEM/ptychography setup recommendations, validating constraints, and updating the Nion Swift recommendation UI.
Calibrate 4D-STEM virtual detector inputs and generate a BF, ABF, or ADF virtual detector image from the selected dataset.
| id | idpc_visualization |
| name | iDPC Visualization |
| description | Calibrate 4D-STEM iDPC inputs and generate an iDPC-style image from the selected dataset. |
| version | 1.1.0 |
Use this skill when the user wants to generate an iDPC-style image from the currently selected 4D-STEM dataset.
Do not use this skill for BF, ABF, or ADF virtual detector images. Do not use this skill for ptychography result review.
agent_visulization.idpc_calibration with arguments {"convergence_angle": <number|null>, "mrad_per_pixel": <number|null>, "scan_step_A": <number|null>, "fov_nm": <number|null>}.agent_visulization.idpc_generate with arguments {"rotation_scan": <number|string|null>, "convergence_angle": <number|null>, "mrad_per_pixel": <number|null>, "scan_step_A": <number|null>, "fov_nm": <number|null>}.agent_visulization.idpc_calibration. Use user-provided values when present. Otherwise use JSON null so the tool can infer values from the selected dataset and metadata.agent_visulization.idpc_generate using the calibrated values and the requested rotation.visualize_idpc or visualize_4dstem.agent_visulization.idpc_calibration before agent_visulization.idpc_generate.rotation_scan may be a numeric value or the string "auto".null or omitted when unknown. Do not use the string "None".rotation_scan="auto".