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Optical coherence tomography (OCT) provides volumetric microstructures of various biological objects, but its objective lens limits its field of view (FOV). We code a Python program using phase-only correlation and alpha blend algorithm on our samples’ overlapping areas to perform OCT 3D image stitching from multiple FOVs. This technique results in a panoramic image and required minimum user interaction. Finally, we process two datasets, AggreWells and colon samples, to successfully test the performance.

Document Type


Author's School

McKelvey School of Engineering

Author's Department

Electrical and Systems Engineering

Class Name

Electrical and Systems Engineering Undergraduate Research

Date of Submission


Available for download on Thursday, May 14, 2026