Serial section histopathology image dataset of colon and pancreas tissue captured through light microscope

Abstract

Till date, histopathological examination of concerned tissue by light microscopy is considered to be the gold standard and most acceptable method for the final diagnosis of disease processes. Sometimes, examination of serial sections, i.e., consecutive sections obtained from a histopathologically processed tissue specimen using a microtome, plays a very vital role in comprehensive understanding of the tissue details, aiding in treatment planning, prognosis, and final diagnosis. In this study, the histopathological dataset showcased, focuses on images of serial sections from colonic and pancreatic tissues, captured through light microscopy. These sequential images might serve as a valuable resource for generating a three-dimensional representation of histological tissue samples. The resulting 3D reconstructed data obtained from the serial sections will provide detailed structural information at a high resolution. Although whole-slide imaging is considered a better option to get images of all sections on one slide at multiple desired magnifications and is obviously a more wanted option for 3D reconstruction of an entire tissue, its high cost poses a significant barrier. In this study, the dataset is prepared and collected from the histopathology division of the Department of Pathology, North Bengal Medical College, near Siliguri. It consisted of 168 serial section images of colon and pancreatic tissue captured at different magnifications. This comprehensive dataset will aid biomedical researchers in the field of histopathology analysis, an area that still holds potential for recent advancements, particularly in 3D reconstruction.