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    Area of Science:

    • Optics and Photonics
    • Materials Science
    • Metrology

    Background:

    • Micro-channel plates (MCPs) are critical components in imaging systems.
    • Ensuring the planeness of MCPs is essential for optimal performance.
    • Existing planeness detection methods may lack accuracy or applicability in production settings.

    Purpose of the Study:

    • To present a novel planeness detection method for micro-channel plates (MCPs).
    • To analyze MCP deformation characteristics and image twisting phenomena using mathematical models.
    • To establish a reliable and accurate method for MCP quality control in production.

    Main Methods:

    • Utilized mathematical models from the image spherizing algorithm.
    • Performed imaging simulations for deformed MCPs using a straight-line standard image.
    • Developed and applied the 'double lines method' for specialized planeness detection.
    • Validated results using interferometry and tested on 100 MCP samples.

    Main Results:

    • Theoretical analysis of MCP deformation and image twisting was consistent with experimental interferometry results.
    • Defined detection standards: >40° twisting angle indicates a defective product, <7° meets military standards.
    • Achieved an accuracy of 1 μm in planeness detection.
    • The method proved effective for MCP production processes.

    Conclusions:

    • The double lines method, based on image spherizing, accurately detects MCP planeness.
    • This technique allows for rapid, visual inspection suitable for harsh environments.
    • The method has been successfully applied to MCP production, improving quality control.