ZEISS released Blockwise on April 30, 2026, a toolbox platform for electron microscopy that uses MVTec's HALCON image processing software as its computational foundation. The collaboration targets semiconductor manufacturers who need stable, reproducible inspection at high data volumes and, increasingly, without manual intervention at each process step.
HALCON ships with more than 2,100 operators and supports both rule-based and deep learning methods within a single environment. What's new here is that Blockwise exposes that combined capability specifically within the electron microscopy workflow, letting engineers switch approaches depending on task complexity rather than maintaining separate systems for each method.
The platform integrates image acquisition directly into the microscope workflow, meaning Blockwise can define subsequent processing steps based on captured image data without exporting to a separate analysis tool. ZEISS describes this as enabling "highly autonomous" operation for demanding inspection tasks, a claim that matters to fabs trying to reduce operator time per inspection cycle.
Klaus Schrenker, Business Development Manager at MVTec, said the two products complement each other because both are built as comprehensive toolboxes. "This enables users to handle a broad range of demanding measurement and inspection tasks with greater ease," Schrenker said.
ZEISS has also positioned Blockwise with a low entry barrier, meaning engineers without deep machine vision expertise can access HALCON's operator library through the platform interface rather than scripting against it directly. The approach reflects a broader push across metrology software toward wrapping industrial-grade algorithms in guided workflows, reducing the deployment effort for AI-based inspection in cleanroom environments.
