Klayout - 25d View __full__

Here is a conceptual Python snippet to define a 25D stack programmatically:

Here are the default navigation controls, as documented for version 0.27 (the core actions remain unchanged in modern versions):

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Navigate to in the KLayout menu.

If you want to customize your setup further, let me know if you want to focus on , photonics stacks , or need help writing a custom Python/Ruby layer script for KLayout. Share public link Here is a conceptual Python snippet to define

| | Benefit in 2.5D | |--------------|----------------------| | Via overlap checking | Quickly see if a via correctly bridges two metal layers without toggling visibility | | Layer sequence understanding | Instantly grasp which layer is above another in the stack-up | | Design review presentations | Non-experts (e.g., packaging engineers) intuitively understand the layout | | Debugging DRC violations | Spot unexpected protrusions into forbidden Z-ranges |

Modern designs use stacked vias (V1, V2, V3) to connect multiple metal layers. In 2D, these appear as concentric squares, making it easy to misalign a via. Rotating the 25D view reveals if a V2 via properly lands on both the underlying Metal1 and the overlying Metal2 – a kind of "virtual cross-section" without cutting a physical slice. Can’t copy the link right now

In 2.5D and 3D stacked ICs, TSVs are vertical interconnects passing through the silicon. Their shape is circular in 2D, but in 25D view, you can assign a substantial height (e.g., 100 µm) and see how TSVs from different tiers align. In practice, designers use the 25D view to check that landing pads fully encircle via bottoms.

While powerful, the 2.5D view has limitations designed to maintain performance.

: You can even export net traces into the 2.5D view to see how a specific electrical signal travels through the vertical stack.