MosaiCAM : Real-Time Adaptive Resolution Histological Slide Imaging

J.B. Scott, K. Ashman, H. Zhuge, C. Wenk, J.Q. Brown, M.S. Cooper, C.M. Licorish, B. Summa
Tulane University,
United States

Keywords: Digital pathology, histology, medical diagnostics, high-resolution imaging, laboratory automation, pathomics

Summary:

Tulane inventors have created MosaiCAM, a platform imaging technology that seamlessly integrates digital pathology into the clinical workflow, using real-time imaging, video mosaicking, and variable-resolution mosaic creation, storage, and visualization. Pathologists using the MosaiCAM microscope review tissue slides in real time using standard procedures, while MosaiCAM software ambiently and dynamically captures the resulting image data of the tissue slides. MosaiCAM records slide images exactly as the pathologist visually observed them, retains high-resolution images for regions of interest while acquiring less critical areas in lower resolution, and then assembles a mosaic image of the entire sample for immediate feedback to the clinician. This process generates high-quality digital pathology data which reflects the gold-standard clinical workflow, while dramatically speeding up image acquisition and reducing required storage space compared to automated single-resolution slide scanners. In turn, the mosaic image output is easily and immediately able to be reviewed by the diagnosing clinician, for example to check their work to ensure that the slide review was complete, or to conduct digital annotation, labeling, or measurement to aid in reporting. Prototypes of the software and image acquisition equipment showed proof of concept with human tissue slides. Benefits include: • Digital pathology platform rapidly acquires clinically-actionable images. • Seamlessly integrates within existing pathology workflow and imaging equipment. • Reduces the cost and time of capturing and storing digital pathology data. • May improve diagnosis quality and speed of many diseases, including cancer. Applications include: • Digital pathology for disease diagnosis and treatment selection. • Basic research and clinical development. Tulane seeks a partner for direct licensing or an entrepreneur to build a business around this technology. Patent applications are pending.