Authors: Drew Allred, Vern Hart
Mentors: Vern Hart
Insitution: Utah Valley University
Surgery remains one of the most common and effective treatments for a variety of cancers, especially those that form solid, localized tumors such as breast and colorectal cancers. During these treatments, the palpable lesion is surgically resected with the assumption that cancerous cells have metastasized to nearby tissues. As such, surgeons will excise a tissue margin surrounding the tumor in hopes of removing any additional cancer, thus preventing further spread of the disease. However, this process is time-consuming and requires specialized expertise from a trained pathologist to verify that all cancer has been removed. Furthermore, if the pathology report indicates that not all cancerous cells have been extracted, additional follow-up visits and surgeries are typically required. In recent years a number of non-invasive technologies have been developed which seek to map cancerous cells in whole tissues. Training and validating these methods still requires a reliable ground truth, typically provided by an annotated pathology report. We propose a simpler model in which two cell species were co-cultured to provide a heterogeneous training sample. One of these species (PANC-1) was transfected with a vector coding for a fluorescent marker to represent healthy tissue, while the other species (COS-7) remained untreated, representing cancerous cells. An experiment was then conducted using a coherent diffraction imaging (CDI) system, in which laser light incident on the cells was used to quantify phase shifts produced by each cell type. Fluorescent microscopy was then used to create a map of transfected and non-transfected cells for comparison. Results will be presented demonstrating a correlation between the phase shifts produced by the two cell types and the corresponding fluorescent images, potentially facilitating optical cell identification without the need for pathology.