.. GENERATED FILE — do not edit by hand. Source: guides/welcome.ts (the same walkthrough the in-app guided tour renders). Regenerate with: node scripts/gen_guide_docs.mjs .. _tutorial-welcome: First Steps =========== A quick orientation to SpyDE: the navigator and signal windows, the linked crosshair, per-window toolbars, and the Plot Control dock. .. admonition:: Follow along in the app :class: note Every step below is also a live walkthrough inside SpyDE: **Help → First Steps → Guided tour**. The tour loads the same small tutorial dataset for you (no download), highlights each control as you go, and closes the example data again when you exit. Steps ----- 1. Welcome to SpyDE ~~~~~~~~~~~~~~~~~~~ SpyDE visualizes and analyzes electron microscopy data — TEM, STEM, Cryo EM, 4D-STEM, EELS. You work with **windows**: a navigator shows the scan, a signal window shows the pattern or spectrum at the crosshair, and toolbars on each window run analyses. .. tip:: A small tutorial scan (**Tutorial Data → Navigation & Virtual Imaging**) is loaded for you — no download needed. 2. Two linked windows ~~~~~~~~~~~~~~~~~~~~~ The **navigator** (left) shows the scan grid with a crosshair; the **signal** window (right) shows the diffraction pattern at that crosshair position. Every dataset you open works this way. 3. Move the crosshair ~~~~~~~~~~~~~~~~~~~~~ Drag the crosshair on the navigator — the signal window updates live to show the pattern at the new scan position. Try it now. 4. Hover a window for its toolbar ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Hover any window to reveal its **floating toolbar** — the tools that act on that window (Find Vectors, Virtual Imaging, FFT, and more all live here, depending on the data). 5. The Plot Control dock ~~~~~~~~~~~~~~~~~~~~~~~~ The dock on the right shows the **contrast histogram**, axes, signal-tree, and metadata for whichever window is active — your control panel for the current plot. 6. Where to go next ~~~~~~~~~~~~~~~~~~~ Ready for a real workflow? Open **Help → Virtual Imaging** or **Help → Finding Diffraction Vectors** for a guided walkthrough on its own tutorial dataset. More information ---------------- SpyDE is a desktop front end for the Python electron-microscopy stack: **HyperSpy** for the multidimensional signal model and lazy/out-of-core loading, **pyxem** for the 4D-STEM methods, **orix** for crystal orientations. Everything you do in the interface is a call into those libraries, so an analysis you build here has a direct equivalent in a notebook — and vice versa. The navigator/signal window pair is HyperSpy’s own idea of navigation and signal axes made interactive, which is why the same layout appears whether the signal is a diffraction pattern, an image or a spectrum. .. tip:: Pick a technique from the Help menu for a walkthrough of a specific workflow. Further reading ~~~~~~~~~~~~~~~ SpyDE wraps pyxem, HyperSpy, eXSpy, kikuchipy and orix; those projects document the underlying methods in far more depth than a walkthrough can. * `HyperSpy — Data visualisation `_ Navigation and signal axes, customising the navigator, plotting several signals together. * `HyperSpy — User guide `_ The library SpyDE is built on: signals, axes, regions of interest, lazy big-data handling. * `pyxem — Example gallery `_ Worked 4D-STEM examples for every technique SpyDE exposes.