MULTIMODAL MICROSCOPY FOR AUTOMATED HISTOLOGIC ANALYSIS OF PROSTATE CANCER

摘要

The present disclosure relates to methods of diagnosing prostate cancer using different imaging methods. For example, it is shown herein that combining a Fourier transform infrared (FT-IR) spectroscopic image with an optical image (such as a hematoxylin and eosin image) allows for automated detection of prostate cancer with high accuracy.