My research has worked to develop an automated system that utilizes techniques that will modernize pathology and reduce diagnosis times from days to hours. The current method of diagnosing cancer (histopathology) requires a tissue biopsy that is fixed with formalin for 6-72 hours, dehydrated and embedded with wax, then manually sectioned, mounted on slides, and stained for imaging. This manual process is extremely time and labor-intensive and is the reason diagnoses can take up to ten days. The preferred, and least invasive, way to obtain tissue from a patient is the core needle biopsy (CNB), which is taken by inserting a needle into a region where cancer is suspected to exist, and removing a cylindrical section of tissue. Although CNBs are rapidly becoming the standard-of-care, their small diameters make it difficult to prepare and section the tissue for use in conventional histopathology. My research project over the past year has been to develop CoreView, a device designed to handle CNBs, automatically staining and imaging their entire surface for more complete images used to diagnose cancer. We use deep ultraviolet light to image the outer 2-3 cell layers of fluorescently stained tissue in a lab-built microscope to produce sharp images that can be equivalent to standard histology images from thin sections. I used LabVIEW to develop the rotational and imaging control to image the tissue at different focal points so the biopsy surface stays in focus during rotation. Along with designing necessary components of our system, I have worked on improving processing techniques for staining fixed porcine liver to produce clearer images with high contrast between the nuclei and the cytoplasm/cell boundaries. Our collaborating pathologist has confirmed that these images are at diagnostic quality, proving that CoreView and my improved techniques for processing tissue have the opportunity to revolutionize current histopathology.