Chip Manufacturing

Front-End Defect Inspection

Front-End Defect Inspection
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KLA-Tencor’s front-end defect inspection tools cover the full range of yield applications within the IC manufacturing environment, including incoming wafer qualification, reticle qualification, research and development, and tool, process and line monitoring. Patterned and unpatterned wafer defect inspection systems find particles, pattern defects and electrical issues on the front surface, back surface and edge of the wafer, allowing engineers to detect and monitor critical yield excursions. Fabs rely on our high sensitivity reticle defect inspection systems to ensure that reticles are defect-free thereby preventing reticle defects from printing on production wafers. The defect data generated by our defect inspection systems is compiled and reduced to relevant root-cause and yield-analysis information with our suite of data management tools. By implementing our front-end defect inspection and analysis systems, chipmakers are able to take quick corrective action, resulting in faster yield improvement and better time to market.

Patterned Wafer

  • 2xxx: Broadband brightfield optical defect inspection systems
  • Puma: Laser-based darkfield optical defect inspection systems
  • eS3x: Electron-beam defect inspection systems
  • 8900: High-speed brightfield/darkfield optical defect inspection system
  • XP: Design-aware inspection and recipe acceleration module for use with 281X, 282X and 283X inspectors

Macro and Edge

  • VisEdge Family Wafer edge defect inspection, metrology and review systems
  • LDS: Macro defect inspection systems
  • IRIS: Infrared defect inspection and review station

Unpatterned Wafer

  • Surfscan SPx: Wafer defect inspection systems for process tool qualification and monitoring using blanket films and bare wafers
  • SURFmonitor: Surfscan module for capture of low-contrast defects

Reticle

  • TeraFab Series: Photomask inspection systems allowing IC fabs to qualify incoming reticles and inspect production reticles for contaminants

Data Management