Optimizing the nanoscale quantitative optical imaging of subfield scattering targets

Area of Science:

• Optical microscopy
• Electromagnetic modeling
• Nanotechnology

Background:

• 3-D scattered fields contain rich spatial frequency information.
• Determining deep-subwavelength geometrical parameters is crucial for advanced imaging.
• Current methods require significant feature areas and measurements.

Purpose of the Study:

• To determine deep-subwavelength geometrical parameters using novel optical microscopy and electromagnetic modeling.
• To establish optimized scattering geometries and experimental conditions.
• To reduce parametric uncertainties, measurements, and feature area in scatterfield microscopy.

Main Methods:

• Utilizing full 3-D scattered field analysis.
• Employing novel optical microscopy techniques.
• Performing electromagnetic modeling and simulations.
• Quantitative optical imaging in 193 nm scatterfield microscopy.

Main Results:

• Deep-subwavelength geometrical parameters were determined.
• Optimized conditions were established to tailor scattered fields.
• Reduced parametric uncertainties were achieved.
• Quantitative imaging used feature sets up to four times smaller than state-of-the-art targets.

Conclusions:

• Novel optical and modeling approaches enable precise determination of subwavelength features.
• Optimized scatterfield microscopy significantly reduces measurement requirements and feature area.
• This advancement offers a more efficient method for critical dimension metrology.