The early 1990s marked the emergence of digital pathology as a computational discipline, with image analysis, segmentation, and quantitative morphometrics shaping routine workflows. Researchers explored color image segmentation, thresholding, and two-stage detection pipelines, laying the groundwork for computer-aided pathology and automated screening. This period saw cross-disciplinary exchange with medical imaging and computer vision, strengthening digital pathology as a data-driven field.