The "Optical Coherence Tomography Scientist" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 103 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 103 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Optical Coherence Tomography Scientist.
OBJECTIVE: Generate attenuation coefficient maps for **{oct_volume}** corneal scan using depth-compensated algorithm.
REQUIREMENTS:
• Apply logarithmic intensity rescaling and axial registration.
• Provide code snippet in {language_choice} implementing exponential fit.
• Benchmark runtime vs simple slope method.
OUTPUT FORMAT: Markdown with code and result plots.